<!DOCTYPE html>

<html>

<head>

<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />



<meta name="date" content="2025-11-24" />

<title>Rieger PSRM replication log</title>

<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
  var i, h, a;
  for (i = 0; i < hs.length; i++) {
    h = hs[i];
    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
    a = h.attributes;
    while (a.length > 0) h.removeAttribute(a[0].name);
  }
});
</script>
<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
</script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<style type="text/css">html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}@media print{*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="javascript:"]:after,a[href^="#"]:after{content:""}blockquote,pre{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}img,tr{page-break-inside:avoid}img{max-width:100%!important}h2,h3,p{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important}.label{border:1px solid #000}.table{border-collapse:collapse!important}.table td,.table th{background-color:#fff!important}.table-bordered td,.table-bordered th{border:1px solid #ddd!important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:font/woff;base64,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) format('woff'),url(data:font/ttf;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\2a"}.glyphicon-plus:before{content:"\2b"}.glyphicon-eur:before,.glyphicon-euro:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}:after,:before{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#333;background-color:#fff}button,input,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#337ab7;text-decoration:none}a:focus,a:hover{color:#23527c;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.carousel-inner>.item>a>img,.carousel-inner>.item>img,.img-responsive,.thumbnail a>img,.thumbnail>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{display:inline-block;max-width:100%;height:auto;padding:4px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eee}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role=button]{cursor:pointer}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-family:inherit;font-weight:500;line-height:1.1;color:inherit}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-weight:400;line-height:1;color:#777}.h1,.h2,.h3,h1,h2,h3{margin-top:20px;margin-bottom:10px}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small{font-size:65%}.h4,.h5,.h6,h4,h5,h6{margin-top:10px;margin-bottom:10px}.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-size:75%}.h1,h1{font-size:36px}.h2,h2{font-size:30px}.h3,h3{font-size:24px}.h4,h4{font-size:18px}.h5,h5{font-size:14px}.h6,h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}.small,small{font-size:85%}.mark,mark{padding:.2em;background-color:#fcf8e3}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#777}.text-primary{color:#337ab7}a.text-primary:focus,a.text-primary:hover{color:#286090}.text-success{color:#3c763d}a.text-success:focus,a.text-success:hover{color:#2b542c}.text-info{color:#31708f}a.text-info:focus,a.text-info:hover{color:#245269}.text-warning{color:#8a6d3b}a.text-warning:focus,a.text-warning:hover{color:#66512c}.text-danger{color:#a94442}a.text-danger:focus,a.text-danger:hover{color:#843534}.bg-primary{color:#fff;background-color:#337ab7}a.bg-primary:focus,a.bg-primary:hover{background-color:#286090}.bg-success{background-color:#dff0d8}a.bg-success:focus,a.bg-success:hover{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:focus,a.bg-info:hover{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:focus,a.bg-warning:hover{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:focus,a.bg-danger:hover{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eee}ol,ul{margin-top:0;margin-bottom:10px}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;margin-left:-5px;list-style:none}.list-inline>li{display:inline-block;padding-right:5px;padding-left:5px}dl{margin-top:0;margin-bottom:20px}dd,dt{line-height:1.42857143}dt{font-weight:700}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[data-original-title],abbr[title]{cursor:help;border-bottom:1px dotted #777}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eee}blockquote ol:last-child,blockquote p:last-child,blockquote ul:last-child{margin-bottom:0}blockquote .small,blockquote footer,blockquote small{display:block;font-size:80%;line-height:1.42857143;color:#777}blockquote .small:before,blockquote footer:before,blockquote small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;text-align:right;border-right:5px solid #eee;border-left:0}.blockquote-reverse .small:before,.blockquote-reverse footer:before,.blockquote-reverse small:before,blockquote.pull-right .small:before,blockquote.pull-right footer:before,blockquote.pull-right small:before{content:''}.blockquote-reverse .small:after,.blockquote-reverse footer:after,.blockquote-reverse small:after,blockquote.pull-right .small:after,blockquote.pull-right footer:after,blockquote.pull-right small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#fff;background-color:#333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;font-weight:700;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;color:#333;word-break:break-all;word-wrap:break-word;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}.row{margin-right:-15px;margin-left:-15px}.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{position:relative;min-height:1px;padding-right:15px;padding-left:15px}.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0}@media (min-width:768px){.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0}}@media (min-width:992px){.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0}}@media (min-width:1200px){.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#777;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>tbody>tr>td,.table>tbody>tr>th,.table>tfoot>tr>td,.table>tfoot>tr>th,.table>thead>tr>td,.table>thead>tr>th{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #ddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #ddd}.table>caption+thead>tr:first-child>td,.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>td,.table>thead:first-child>tr:first-child>th{border-top:0}.table>tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed>tbody>tr>td,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>td,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>thead>tr>th{padding:5px}.table-bordered{border:1px solid #ddd}.table-bordered>tbody>tr>td,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>td,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border:1px solid #ddd}.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*=col-]{position:static;display:table-column;float:none}table td[class*=col-],table th[class*=col-]{position:static;display:table-cell;float:none}.table>tbody>tr.active>td,.table>tbody>tr.active>th,.table>tbody>tr>td.active,.table>tbody>tr>th.active,.table>tfoot>tr.active>td,.table>tfoot>tr.active>th,.table>tfoot>tr>td.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>thead>tr.active>th,.table>thead>tr>td.active,.table>thead>tr>th.active{background-color:#f5f5f5}.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr.active:hover>th,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover{background-color:#e8e8e8}.table>tbody>tr.success>td,.table>tbody>tr.success>th,.table>tbody>tr>td.success,.table>tbody>tr>th.success,.table>tfoot>tr.success>td,.table>tfoot>tr.success>th,.table>tfoot>tr>td.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>thead>tr.success>th,.table>thead>tr>td.success,.table>thead>tr>th.success{background-color:#dff0d8}.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr.success:hover>th,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover{background-color:#d0e9c6}.table>tbody>tr.info>td,.table>tbody>tr.info>th,.table>tbody>tr>td.info,.table>tbody>tr>th.info,.table>tfoot>tr.info>td,.table>tfoot>tr.info>th,.table>tfoot>tr>td.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>thead>tr.info>th,.table>thead>tr>td.info,.table>thead>tr>th.info{background-color:#d9edf7}.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr.info:hover>th,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover{background-color:#c4e3f3}.table>tbody>tr.warning>td,.table>tbody>tr.warning>th,.table>tbody>tr>td.warning,.table>tbody>tr>th.warning,.table>tfoot>tr.warning>td,.table>tfoot>tr.warning>th,.table>tfoot>tr>td.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>thead>tr.warning>th,.table>thead>tr>td.warning,.table>thead>tr>th.warning{background-color:#fcf8e3}.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr.warning:hover>th,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover{background-color:#faf2cc}.table>tbody>tr.danger>td,.table>tbody>tr.danger>th,.table>tbody>tr>td.danger,.table>tbody>tr>th.danger,.table>tfoot>tr.danger>td,.table>tfoot>tr.danger>th,.table>tfoot>tr>td.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>thead>tr.danger>th,.table>thead>tr>td.danger,.table>thead>tr>th.danger{background-color:#f2dede}.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr.danger:hover>th,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover{background-color:#ebcccc}.table-responsive{min-height:.01%;overflow-x:auto}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #ddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>td,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>thead>tr>th{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:700}input[type=search]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type=checkbox],input[type=radio]{margin:4px 0 0;margin-top:1px\9;line-height:normal}input[type=file]{display:block}input[type=range]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type=file]:focus,input[type=checkbox]:focus,input[type=radio]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:14px;line-height:1.42857143;color:#555}.form-control{display:block;width:100%;height:34px;padding:6px 12px;font-size:14px;line-height:1.42857143;color:#555;background-color:#fff;background-image:none;border:1px solid #ccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6)}.form-control::-moz-placeholder{color:#999;opacity:1}.form-control:-ms-input-placeholder{color:#999}.form-control::-webkit-input-placeholder{color:#999}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type=search]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type=date].form-control,input[type=time].form-control,input[type=datetime-local].form-control,input[type=month].form-control{line-height:34px}.input-group-sm input[type=date],.input-group-sm input[type=time],.input-group-sm input[type=datetime-local],.input-group-sm input[type=month],input[type=date].input-sm,input[type=time].input-sm,input[type=datetime-local].input-sm,input[type=month].input-sm{line-height:30px}.input-group-lg input[type=date],.input-group-lg input[type=time],.input-group-lg input[type=datetime-local],.input-group-lg input[type=month],input[type=date].input-lg,input[type=time].input-lg,input[type=datetime-local].input-lg,input[type=month].input-lg{line-height:46px}}.form-group{margin-bottom:15px}.checkbox,.radio{position:relative;display:block;margin-top:10px;margin-bottom:10px}.checkbox label,.radio label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.checkbox input[type=checkbox],.checkbox-inline input[type=checkbox],.radio input[type=radio],.radio-inline input[type=radio]{position:absolute;margin-top:4px\9;margin-left:-20px}.checkbox+.checkbox,.radio+.radio{margin-top:-5px}.checkbox-inline,.radio-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.checkbox-inline+.checkbox-inline,.radio-inline+.radio-inline{margin-top:0;margin-left:10px}fieldset[disabled] input[type=checkbox],fieldset[disabled] input[type=radio],input[type=checkbox].disabled,input[type=checkbox][disabled],input[type=radio].disabled,input[type=radio][disabled]{cursor:not-allowed}.checkbox-inline.disabled,.radio-inline.disabled,fieldset[disabled] .checkbox-inline,fieldset[disabled] .radio-inline{cursor:not-allowed}.checkbox.disabled label,.radio.disabled label,fieldset[disabled] .checkbox label,fieldset[disabled] .radio label{cursor:not-allowed}.form-control-static{min-height:34px;padding-top:7px;padding-bottom:7px;margin-bottom:0}.form-control-static.input-lg,.form-control-static.input-sm{padding-right:0;padding-left:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}select[multiple].input-sm,textarea.input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm select[multiple].form-control,.form-group-sm textarea.form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:46px;line-height:46px}select[multiple].input-lg,textarea.input-lg{height:auto}.form-group-lg .form-control{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:46px;line-height:46px}.form-group-lg select[multiple].form-control,.form-group-lg textarea.form-control{height:auto}.form-group-lg .form-control-static{height:46px;min-height:38px;padding:11px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:42.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:34px;height:34px;line-height:34px;text-align:center;pointer-events:none}.form-group-lg .form-control+.form-control-feedback,.input-group-lg+.form-control-feedback,.input-lg+.form-control-feedback{width:46px;height:46px;line-height:46px}.form-group-sm .form-control+.form-control-feedback,.input-group-sm+.form-control-feedback,.input-sm+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .checkbox,.has-success .checkbox-inline,.has-success .control-label,.has-success .help-block,.has-success .radio,.has-success .radio-inline,.has-success.checkbox label,.has-success.checkbox-inline label,.has-success.radio label,.has-success.radio-inline label{color:#3c763d}.has-success .form-control{border-color:#3c763d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-success .form-control:focus{border-color:#2b542c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168}.has-success .input-group-addon{color:#3c763d;background-color:#dff0d8;border-color:#3c763d}.has-success .form-control-feedback{color:#3c763d}.has-warning .checkbox,.has-warning .checkbox-inline,.has-warning .control-label,.has-warning .help-block,.has-warning .radio,.has-warning .radio-inline,.has-warning.checkbox label,.has-warning.checkbox-inline label,.has-warning.radio label,.has-warning.radio-inline label{color:#8a6d3b}.has-warning .form-control{border-color:#8a6d3b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-warning .form-control:focus{border-color:#66512c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b}.has-warning .input-group-addon{color:#8a6d3b;background-color:#fcf8e3;border-color:#8a6d3b}.has-warning .form-control-feedback{color:#8a6d3b}.has-error .checkbox,.has-error .checkbox-inline,.has-error .control-label,.has-error .help-block,.has-error .radio,.has-error .radio-inline,.has-error.checkbox label,.has-error.checkbox-inline label,.has-error.radio label,.has-error.radio-inline label{color:#a94442}.has-error .form-control{border-color:#a94442;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-error .form-control:focus{border-color:#843534;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483}.has-error .input-group-addon{color:#a94442;background-color:#f2dede;border-color:#a94442}.has-error .form-control-feedback{color:#a94442}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#737373}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .form-control,.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .checkbox,.form-inline .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .checkbox label,.form-inline .radio label{padding-left:0}.form-inline .checkbox input[type=checkbox],.form-inline .radio input[type=radio]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .checkbox,.form-horizontal .checkbox-inline,.form-horizontal .radio,.form-horizontal .radio-inline{padding-top:7px;margin-top:0;margin-bottom:0}.form-horizontal .checkbox,.form-horizontal .radio{min-height:27px}.form-horizontal .form-group{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.form-horizontal .control-label{padding-top:7px;margin-bottom:0;text-align:right}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:14.33px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;padding:6px 12px;margin-bottom:0;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background-image:none;border:1px solid transparent;border-radius:4px}.btn.active.focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn:active:focus,.btn:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.focus,.btn:focus,.btn:hover{color:#333;text-decoration:none}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none;opacity:.65}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#333;background-color:#fff;border-color:#ccc}.btn-default.focus,.btn-default:focus{color:#333;background-color:#e6e6e6;border-color:#8c8c8c}.btn-default:hover{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active.focus,.btn-default.active:focus,.btn-default.active:hover,.btn-default:active.focus,.btn-default:active:focus,.btn-default:active:hover,.open>.dropdown-toggle.btn-default.focus,.open>.dropdown-toggle.btn-default:focus,.open>.dropdown-toggle.btn-default:hover{color:#333;background-color:#d4d4d4;border-color:#8c8c8c}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled,.btn-default.disabled.active,.btn-default.disabled.focus,.btn-default.disabled:active,.btn-default.disabled:focus,.btn-default.disabled:hover,.btn-default[disabled],.btn-default[disabled].active,.btn-default[disabled].focus,.btn-default[disabled]:active,.btn-default[disabled]:focus,.btn-default[disabled]:hover,fieldset[disabled] .btn-default,fieldset[disabled] .btn-default.active,fieldset[disabled] .btn-default.focus,fieldset[disabled] .btn-default:active,fieldset[disabled] .btn-default:focus,fieldset[disabled] .btn-default:hover{background-color:#fff;border-color:#ccc}.btn-default .badge{color:#fff;background-color:#333}.btn-primary{color:#fff;background-color:#337ab7;border-color:#2e6da4}.btn-primary.focus,.btn-primary:focus{color:#fff;background-color:#286090;border-color:#122b40}.btn-primary:hover{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active.focus,.btn-primary.active:focus,.btn-primary.active:hover,.btn-primary:active.focus,.btn-primary:active:focus,.btn-primary:active:hover,.open>.dropdown-toggle.btn-primary.focus,.open>.dropdown-toggle.btn-primary:focus,.open>.dropdown-toggle.btn-primary:hover{color:#fff;background-color:#204d74;border-color:#122b40}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] .btn-primary:hover{background-color:#337ab7;border-color:#2e6da4}.btn-primary .badge{color:#337ab7;background-color:#fff}.btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c}.btn-success.focus,.btn-success:focus{color:#fff;background-color:#449d44;border-color:#255625}.btn-success:hover{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active.focus,.btn-success.active:focus,.btn-success.active:hover,.btn-success:active.focus,.btn-success:active:focus,.btn-success:active:hover,.open>.dropdown-toggle.btn-success.focus,.open>.dropdown-toggle.btn-success:focus,.open>.dropdown-toggle.btn-success:hover{color:#fff;background-color:#398439;border-color:#255625}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled,.btn-success.disabled.active,.btn-success.disabled.focus,.btn-success.disabled:active,.btn-success.disabled:focus,.btn-success.disabled:hover,.btn-success[disabled],.btn-success[disabled].active,.btn-success[disabled].focus,.btn-success[disabled]:active,.btn-success[disabled]:focus,.btn-success[disabled]:hover,fieldset[disabled] .btn-success,fieldset[disabled] .btn-success.active,fieldset[disabled] .btn-success.focus,fieldset[disabled] .btn-success:active,fieldset[disabled] .btn-success:focus,fieldset[disabled] .btn-success:hover{background-color:#5cb85c;border-color:#4cae4c}.btn-success .badge{color:#5cb85c;background-color:#fff}.btn-info{color:#fff;background-color:#5bc0de;border-color:#46b8da}.btn-info.focus,.btn-info:focus{color:#fff;background-color:#31b0d5;border-color:#1b6d85}.btn-info:hover{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active.focus,.btn-info.active:focus,.btn-info.active:hover,.btn-info:active.focus,.btn-info:active:focus,.btn-info:active:hover,.open>.dropdown-toggle.btn-info.focus,.open>.dropdown-toggle.btn-info:focus,.open>.dropdown-toggle.btn-info:hover{color:#fff;background-color:#269abc;border-color:#1b6d85}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled,.btn-info.disabled.active,.btn-info.disabled.focus,.btn-info.disabled:active,.btn-info.disabled:focus,.btn-info.disabled:hover,.btn-info[disabled],.btn-info[disabled].active,.btn-info[disabled].focus,.btn-info[disabled]:active,.btn-info[disabled]:focus,.btn-info[disabled]:hover,fieldset[disabled] .btn-info,fieldset[disabled] .btn-info.active,fieldset[disabled] .btn-info.focus,fieldset[disabled] .btn-info:active,fieldset[disabled] .btn-info:focus,fieldset[disabled] .btn-info:hover{background-color:#5bc0de;border-color:#46b8da}.btn-info .badge{color:#5bc0de;background-color:#fff}.btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236}.btn-warning.focus,.btn-warning:focus{color:#fff;background-color:#ec971f;border-color:#985f0d}.btn-warning:hover{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active.focus,.btn-warning.active:focus,.btn-warning.active:hover,.btn-warning:active.focus,.btn-warning:active:focus,.btn-warning:active:hover,.open>.dropdown-toggle.btn-warning.focus,.open>.dropdown-toggle.btn-warning:focus,.open>.dropdown-toggle.btn-warning:hover{color:#fff;background-color:#d58512;border-color:#985f0d}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled,.btn-warning.disabled.active,.btn-warning.disabled.focus,.btn-warning.disabled:active,.btn-warning.disabled:focus,.btn-warning.disabled:hover,.btn-warning[disabled],.btn-warning[disabled].active,.btn-warning[disabled].focus,.btn-warning[disabled]:active,.btn-warning[disabled]:focus,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning,fieldset[disabled] .btn-warning.active,fieldset[disabled] .btn-warning.focus,fieldset[disabled] .btn-warning:active,fieldset[disabled] .btn-warning:focus,fieldset[disabled] .btn-warning:hover{background-color:#f0ad4e;border-color:#eea236}.btn-warning .badge{color:#f0ad4e;background-color:#fff}.btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a}.btn-danger.focus,.btn-danger:focus{color:#fff;background-color:#c9302c;border-color:#761c19}.btn-danger:hover{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active.focus,.btn-danger.active:focus,.btn-danger.active:hover,.btn-danger:active.focus,.btn-danger:active:focus,.btn-danger:active:hover,.open>.dropdown-toggle.btn-danger.focus,.open>.dropdown-toggle.btn-danger:focus,.open>.dropdown-toggle.btn-danger:hover{color:#fff;background-color:#ac2925;border-color:#761c19}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled,.btn-danger.disabled.active,.btn-danger.disabled.focus,.btn-danger.disabled:active,.btn-danger.disabled:focus,.btn-danger.disabled:hover,.btn-danger[disabled],.btn-danger[disabled].active,.btn-danger[disabled].focus,.btn-danger[disabled]:active,.btn-danger[disabled]:focus,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger,fieldset[disabled] .btn-danger.active,fieldset[disabled] .btn-danger.focus,fieldset[disabled] .btn-danger:active,fieldset[disabled] .btn-danger:focus,fieldset[disabled] .btn-danger:hover{background-color:#d9534f;border-color:#d43f3a}.btn-danger .badge{color:#d9534f;background-color:#fff}.btn-link{font-weight:400;color:#337ab7;border-radius:0}.btn-link,.btn-link.active,.btn-link:active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:active,.btn-link:focus,.btn-link:hover{border-color:transparent}.btn-link:focus,.btn-link:hover{color:#23527c;text-decoration:underline;background-color:transparent}.btn-link[disabled]:focus,.btn-link[disabled]:hover,fieldset[disabled] .btn-link:focus,fieldset[disabled] .btn-link:hover{color:#777;text-decoration:none}.btn-group-lg>.btn,.btn-lg{padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-group-sm>.btn,.btn-sm{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-group-xs>.btn,.btn-xs{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease;-webkit-transition-duration:.35s;-o-transition-duration:.35s;transition-duration:.35s;-webkit-transition-property:height,visibility;-o-transition-property:height,visibility;transition-property:height,visibility}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid\9;border-right:4px solid transparent;border-left:4px solid transparent}.dropdown,.dropup{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;font-size:14px;text-align:left;list-style:none;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,.175);box-shadow:0 6px 12px rgba(0,0,0,.175)}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:400;line-height:1.42857143;color:#333;white-space:nowrap}.dropdown-menu>li>a:focus,.dropdown-menu>li>a:hover{color:#262626;text-decoration:none;background-color:#f5f5f5}.dropdown-menu>.active>a,.dropdown-menu>.active>a:focus,.dropdown-menu>.active>a:hover{color:#fff;text-decoration:none;background-color:#337ab7;outline:0}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{color:#777}.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{text-decoration:none;cursor:not-allowed;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{right:0;left:auto}.dropdown-menu-left{right:auto;left:0}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#777;white-space:nowrap}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{content:"";border-top:0;border-bottom:4px dashed;border-bottom:4px solid\9}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{right:0;left:auto}.navbar-right .dropdown-menu-left{right:auto;left:0}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group-vertical>.btn,.btn-group>.btn{position:relative;float:left}.btn-group-vertical>.btn.active,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:hover,.btn-group>.btn.active,.btn-group>.btn:active,.btn-group>.btn:focus,.btn-group>.btn:hover{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-bottom-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-right:8px;padding-left:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-right:12px;padding-left:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-left-radius:0;border-top-right-radius:0;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-top-right-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{display:table-cell;float:none;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle=buttons]>.btn input[type=checkbox],[data-toggle=buttons]>.btn input[type=radio],[data-toggle=buttons]>.btn-group>.btn input[type=checkbox],[data-toggle=buttons]>.btn-group>.btn input[type=radio]{position:absolute;clip:rect(0,0,0,0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*=col-]{float:none;padding-right:0;padding-left:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:46px;line-height:46px}select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn,textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn,textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn{height:auto}.input-group .form-control,.input-group-addon,.input-group-btn{display:table-cell}.input-group .form-control:not(:first-child):not(:last-child),.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 12px;font-size:14px;font-weight:400;line-height:1;color:#555;text-align:center;background-color:#eee;border:1px solid #ccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type=checkbox],.input-group-addon input[type=radio]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn-group:not(:last-child)>.btn,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:first-child>.btn-group:not(:first-child)>.btn,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle{border-top-left-radius:0;border-bottom-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:active,.input-group-btn>.btn:focus,.input-group-btn>.btn:hover{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{padding-left:0;margin-bottom:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:focus,.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>li.disabled>a{color:#777}.nav>li.disabled>a:focus,.nav>li.disabled>a:hover{color:#777;text-decoration:none;cursor:not-allowed;background-color:transparent}.nav .open>a,.nav .open>a:focus,.nav .open>a:hover{background-color:#eee;border-color:#337ab7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus,.nav-tabs>li.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border-bottom-color:#fff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:focus,.nav-pills>li.active>a:hover{color:#fff;background-color:#337ab7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border-bottom-color:#fff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-left-radius:0;border-top-right-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{padding-right:15px;padding-left:15px;overflow-x:visible;-webkit-overflow-scrolling:touch;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1)}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block!important;height:auto!important;padding-bottom:0;overflow:visible!important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse{padding-right:0;padding-left:0}}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:200px}}.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-bottom,.navbar-fixed-top{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-bottom,.navbar-fixed-top{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;height:50px;padding:15px 15px;font-size:18px;line-height:20px}.navbar-brand:focus,.navbar-brand:hover{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;padding:9px 10px;margin-top:8px;margin-right:15px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu .dropdown-header,.navbar-nav .open .dropdown-menu>li>a{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:focus,.navbar-nav .open .dropdown-menu>li>a:hover{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{padding:10px 15px;margin-top:8px;margin-right:-15px;margin-bottom:8px;margin-left:-15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1)}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .form-control,.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .checkbox,.navbar-form .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .checkbox label,.navbar-form .radio label{padding-left:0}.navbar-form .checkbox input[type=checkbox],.navbar-form .radio input[type=radio]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;padding-top:0;padding-bottom:0;margin-right:0;margin-left:0;border:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-left-radius:0;border-top-right-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-left-radius:4px;border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:8px;margin-bottom:8px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-right:15px;margin-left:15px}}@media (min-width:768px){.navbar-left{float:left!important}.navbar-right{float:right!important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#f8f8f8;border-color:#e7e7e7}.navbar-default .navbar-brand{color:#777}.navbar-default .navbar-brand:focus,.navbar-default .navbar-brand:hover{color:#5e5e5e;background-color:transparent}.navbar-default .navbar-text{color:#777}.navbar-default .navbar-nav>li>a{color:#777}.navbar-default .navbar-nav>li>a:focus,.navbar-default .navbar-nav>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:focus,.navbar-default .navbar-nav>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:focus,.navbar-default .navbar-nav>.disabled>a:hover{color:#ccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:#ddd}.navbar-default .navbar-toggle:focus,.navbar-default .navbar-toggle:hover{background-color:#ddd}.navbar-default .navbar-toggle .icon-bar{background-color:#888}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#e7e7e7}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:focus,.navbar-default .navbar-nav>.open>a:hover{color:#555;background-color:#e7e7e7}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#777}.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#ccc;background-color:transparent}}.navbar-default .navbar-link{color:#777}.navbar-default .navbar-link:hover{color:#333}.navbar-default .btn-link{color:#777}.navbar-default .btn-link:focus,.navbar-default .btn-link:hover{color:#333}.navbar-default .btn-link[disabled]:focus,.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:focus,fieldset[disabled] .navbar-default .btn-link:hover{color:#ccc}.navbar-inverse{background-color:#222;border-color:#080808}.navbar-inverse .navbar-brand{color:#9d9d9d}.navbar-inverse .navbar-brand:focus,.navbar-inverse .navbar-brand:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-text{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a:focus,.navbar-inverse .navbar-nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:focus,.navbar-inverse .navbar-nav>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:focus,.navbar-inverse .navbar-nav>.disabled>a:hover{color:#444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#333}.navbar-inverse .navbar-toggle:focus,.navbar-inverse .navbar-toggle:hover{background-color:#333}.navbar-inverse .navbar-toggle .icon-bar{background-color:#fff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#101010}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:focus,.navbar-inverse .navbar-nav>.open>a:hover{color:#fff;background-color:#080808}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#444;background-color:transparent}}.navbar-inverse .navbar-link{color:#9d9d9d}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .btn-link{color:#9d9d9d}.navbar-inverse .btn-link:focus,.navbar-inverse .btn-link:hover{color:#fff}.navbar-inverse .btn-link[disabled]:focus,.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:focus,fieldset[disabled] .navbar-inverse .btn-link:hover{color:#444}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{padding:0 5px;color:#ccc;content:"/\00a0"}.breadcrumb>.active{color:#777}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 12px;margin-left:-1px;line-height:1.42857143;color:#337ab7;text-decoration:none;background-color:#fff;border:1px solid #ddd}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-top-left-radius:4px;border-bottom-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-top-right-radius:4px;border-bottom-right-radius:4px}.pagination>li>a:focus,.pagination>li>a:hover,.pagination>li>span:focus,.pagination>li>span:hover{z-index:3;color:#23527c;background-color:#eee;border-color:#ddd}.pagination>.active>a,.pagination>.active>a:focus,.pagination>.active>a:hover,.pagination>.active>span,.pagination>.active>span:focus,.pagination>.active>span:hover{z-index:2;color:#fff;cursor:default;background-color:#337ab7;border-color:#337ab7}.pagination>.disabled>a,.pagination>.disabled>a:focus,.pagination>.disabled>a:hover,.pagination>.disabled>span,.pagination>.disabled>span:focus,.pagination>.disabled>span:hover{color:#777;cursor:not-allowed;background-color:#fff;border-color:#ddd}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-top-left-radius:6px;border-bottom-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-top-right-radius:6px;border-bottom-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-top-left-radius:3px;border-bottom-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-top-right-radius:3px;border-bottom-right-radius:3px}.pager{padding-left:0;margin:20px 0;text-align:center;list-style:none}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;border-radius:15px}.pager li>a:focus,.pager li>a:hover{text-decoration:none;background-color:#eee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:focus,.pager .disabled>a:hover,.pager .disabled>span{color:#777;cursor:not-allowed;background-color:#fff}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:focus,a.label:hover{color:#fff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#777}.label-default[href]:focus,.label-default[href]:hover{background-color:#5e5e5e}.label-primary{background-color:#337ab7}.label-primary[href]:focus,.label-primary[href]:hover{background-color:#286090}.label-success{background-color:#5cb85c}.label-success[href]:focus,.label-success[href]:hover{background-color:#449d44}.label-info{background-color:#5bc0de}.label-info[href]:focus,.label-info[href]:hover{background-color:#31b0d5}.label-warning{background-color:#f0ad4e}.label-warning[href]:focus,.label-warning[href]:hover{background-color:#ec971f}.label-danger{background-color:#d9534f}.label-danger[href]:focus,.label-danger[href]:hover{background-color:#c9302c}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:middle;background-color:#777;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-group-xs>.btn .badge,.btn-xs .badge{top:0;padding:1px 5px}a.badge:focus,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#337ab7;background-color:#fff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eee}.jumbotron .h1,.jumbotron h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-right:60px;padding-left:60px}.jumbotron .h1,.jumbotron h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail a>img,.thumbnail>img{margin-right:auto;margin-left:auto}a.thumbnail.active,a.thumbnail:focus,a.thumbnail:hover{border-color:#337ab7}.thumbnail .caption{padding:9px;color:#333}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:700}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#2b542c}.alert-info{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#245269}.alert-warning{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.alert-warning hr{border-top-color:#f7e1b5}.alert-warning .alert-link{color:#66512c}.alert-danger{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.alert-danger hr{border-top-color:#e4b9c0}.alert-danger .alert-link{color:#843534}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1);box-shadow:inset 0 1px 2px rgba(0,0,0,.1)}.progress-bar{float:left;width:0;height:100%;font-size:12px;line-height:20px;color:#fff;text-align:center;background-color:#337ab7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);-webkit-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress-bar-striped,.progress-striped .progress-bar{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress-bar.active,.progress.active .progress-bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#5cb85c}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-info{background-color:#5bc0de}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-warning{background-color:#f0ad4e}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-danger{background-color:#d9534f}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{overflow:hidden;zoom:1}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-body,.media-left,.media-right{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{padding-left:0;margin-bottom:20px}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#fff;border:1px solid #ddd}.list-group-item:first-child{border-top-left-radius:4px;border-top-right-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333}a.list-group-item:focus,a.list-group-item:hover,button.list-group-item:focus,button.list-group-item:hover{color:#555;text-decoration:none;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:focus,.list-group-item.disabled:hover{color:#777;cursor:not-allowed;background-color:#eee}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text{color:#777}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{z-index:2;color:#fff;background-color:#337ab7;border-color:#337ab7}.list-group-item.active .list-group-item-heading,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:focus .list-group-item-text,.list-group-item.active:hover .list-group-item-text{color:#c7ddef}.list-group-item-success{color:#3c763d;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#3c763d}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:focus,a.list-group-item-success:hover,button.list-group-item-success:focus,button.list-group-item-success:hover{color:#3c763d;background-color:#d0e9c6}a.list-group-item-success.active,a.list-group-item-success.active:focus,a.list-group-item-success.active:hover,button.list-group-item-success.active,button.list-group-item-success.active:focus,button.list-group-item-success.active:hover{color:#fff;background-color:#3c763d;border-color:#3c763d}.list-group-item-info{color:#31708f;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#31708f}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:focus,a.list-group-item-info:hover,button.list-group-item-info:focus,button.list-group-item-info:hover{color:#31708f;background-color:#c4e3f3}a.list-group-item-info.active,a.list-group-item-info.active:focus,a.list-group-item-info.active:hover,button.list-group-item-info.active,button.list-group-item-info.active:focus,button.list-group-item-info.active:hover{color:#fff;background-color:#31708f;border-color:#31708f}.list-group-item-warning{color:#8a6d3b;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#8a6d3b}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:focus,a.list-group-item-warning:hover,button.list-group-item-warning:focus,button.list-group-item-warning:hover{color:#8a6d3b;background-color:#faf2cc}a.list-group-item-warning.active,a.list-group-item-warning.active:focus,a.list-group-item-warning.active:hover,button.list-group-item-warning.active,button.list-group-item-warning.active:focus,button.list-group-item-warning.active:hover{color:#fff;background-color:#8a6d3b;border-color:#8a6d3b}.list-group-item-danger{color:#a94442;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#a94442}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:focus,a.list-group-item-danger:hover,button.list-group-item-danger:focus,button.list-group-item-danger:hover{color:#a94442;background-color:#ebcccc}a.list-group-item-danger.active,a.list-group-item-danger.active:focus,a.list-group-item-danger.active:hover,button.list-group-item-danger.active,button.list-group-item-danger.active:focus,button.list-group-item-danger.active:hover{color:#fff;background-color:#a94442;border-color:#a94442}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#fff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,.05);box-shadow:0 1px 1px rgba(0,0,0,.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-left-radius:3px;border-top-right-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>.small,.panel-title>.small>a,.panel-title>a,.panel-title>small,.panel-title>small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #ddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-left-radius:3px;border-top-right-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-left-radius:0;border-top-right-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.panel-collapse>.table,.panel>.table,.panel>.table-responsive>.table{margin-bottom:0}.panel>.panel-collapse>.table caption,.panel>.table caption,.panel>.table-responsive>.table caption{padding-right:15px;padding-left:15px}.panel>.table-responsive:first-child>.table:first-child,.panel>.table:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table:first-child>thead:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table-responsive:last-child>.table:last-child,.panel>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #ddd}.panel>.table>tbody:first-child>tr:first-child td,.panel>.table>tbody:first-child>tr:first-child th{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{margin-bottom:0;border:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.list-group,.panel-group .panel-heading+.panel-collapse>.panel-body{border-top:1px solid #ddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #ddd}.panel-default{border-color:#ddd}.panel-default>.panel-heading{color:#333;background-color:#f5f5f5;border-color:#ddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#333}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ddd}.panel-primary{border-color:#337ab7}.panel-primary>.panel-heading{color:#fff;background-color:#337ab7;border-color:#337ab7}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#337ab7}.panel-primary>.panel-heading .badge{color:#337ab7;background-color:#fff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#337ab7}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#dff0d8;background-color:#3c763d}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#bce8f1}.panel-info>.panel-heading{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#bce8f1}.panel-info>.panel-heading .badge{color:#d9edf7;background-color:#31708f}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#bce8f1}.panel-warning{border-color:#faebcc}.panel-warning>.panel-heading{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#faebcc}.panel-warning>.panel-heading .badge{color:#fcf8e3;background-color:#8a6d3b}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#faebcc}.panel-danger{border-color:#ebccd1}.panel-danger>.panel-heading{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ebccd1}.panel-danger>.panel-heading .badge{color:#f2dede;background-color:#a94442}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ebccd1}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive embed,.embed-responsive iframe,.embed-responsive object,.embed-responsive video{position:absolute;top:0;bottom:0;left:0;width:100%;height:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:700;line-height:1;color:#000;text-shadow:0 1px 0 #fff;filter:alpha(opacity=20);opacity:.2}.close:focus,.close:hover{color:#000;text-decoration:none;cursor:pointer;filter:alpha(opacity=50);opacity:.5}button.close{-webkit-appearance:none;padding:0;cursor:pointer;background:0 0;border:0}.modal-open{overflow:hidden}.modal{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;display:none;overflow:hidden;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out;-webkit-transform:translate(0,-25%);-ms-transform:translate(0,-25%);-o-transform:translate(0,-25%);transform:translate(0,-25%)}.modal.in .modal-dialog{-webkit-transform:translate(0,0);-ms-transform:translate(0,0);-o-transform:translate(0,0);transform:translate(0,0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #999;border:1px solid rgba(0,0,0,.2);border-radius:6px;outline:0;-webkit-box-shadow:0 3px 9px rgba(0,0,0,.5);box-shadow:0 3px 9px rgba(0,0,0,.5)}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{filter:alpha(opacity=0);opacity:0}.modal-backdrop.in{filter:alpha(opacity=50);opacity:.5}.modal-header{min-height:16.43px;padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,.5);box-shadow:0 5px 15px rgba(0,0,0,.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;filter:alpha(opacity=0);opacity:0;line-break:auto}.tooltip.in{filter:alpha(opacity=90);opacity:.9}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;background-color:#000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-left .tooltip-arrow{right:5px;bottom:0;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,.2);box-shadow:0 5px 10px rgba(0,0,0,.2);line-break:auto}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{content:"";border-width:10px}.popover.top>.arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,.25);border-bottom-width:0}.popover.top>.arrow:after{bottom:1px;margin-left:-10px;content:" ";border-top-color:#fff;border-bottom-width:0}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,.25);border-left-width:0}.popover.right>.arrow:after{bottom:-10px;left:1px;content:" ";border-right-color:#fff;border-left-width:0}.popover.bottom>.arrow{top:-11px;left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,.25)}.popover.bottom>.arrow:after{top:1px;margin-left:-10px;content:" ";border-top-width:0;border-bottom-color:#fff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0,0,0,.25)}.popover.left>.arrow:after{right:1px;bottom:-10px;content:" ";border-right-width:0;border-left-color:#fff}.carousel{position:relative}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>a>img,.carousel-inner>.item>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.active.right,.carousel-inner>.item.next{left:0;-webkit-transform:translate3d(100%,0,0);transform:translate3d(100%,0,0)}.carousel-inner>.item.active.left,.carousel-inner>.item.prev{left:0;-webkit-transform:translate3d(-100%,0,0);transform:translate3d(-100%,0,0)}.carousel-inner>.item.active,.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right{left:0;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;bottom:0;left:0;width:15%;font-size:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6);filter:alpha(opacity=50);opacity:.5}.carousel-control.left{background-image:-webkit-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.5)),to(rgba(0,0,0,.0001)));background-image:linear-gradient(to right,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);background-repeat:repeat-x}.carousel-control.right{right:0;left:auto;background-image:-webkit-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.0001)),to(rgba(0,0,0,.5)));background-image:linear-gradient(to right,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);background-repeat:repeat-x}.carousel-control:focus,.carousel-control:hover{color:#fff;text-decoration:none;filter:alpha(opacity=90);outline:0;opacity:.9}.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{position:absolute;top:50%;z-index:5;display:inline-block;margin-top:-10px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{left:50%;margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{right:50%;margin-right:-10px}.carousel-control .icon-next,.carousel-control .icon-prev{width:20px;height:20px;font-family:serif;line-height:1}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;padding-left:0;margin-left:-30%;text-align:center;list-style:none}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;cursor:pointer;background-color:#000\9;background-color:rgba(0,0,0,0);border:1px solid #fff;border-radius:10px}.carousel-indicators .active{width:12px;height:12px;margin:0;background-color:#fff}.carousel-caption{position:absolute;right:15%;bottom:20px;left:15%;z-index:10;padding-top:20px;padding-bottom:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{width:30px;height:30px;margin-top:-15px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-15px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-15px}.carousel-caption{right:20%;left:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.btn-group-vertical>.btn-group:after,.btn-group-vertical>.btn-group:before,.btn-toolbar:after,.btn-toolbar:before,.clearfix:after,.clearfix:before,.container-fluid:after,.container-fluid:before,.container:after,.container:before,.dl-horizontal dd:after,.dl-horizontal dd:before,.form-horizontal .form-group:after,.form-horizontal .form-group:before,.modal-footer:after,.modal-footer:before,.nav:after,.nav:before,.navbar-collapse:after,.navbar-collapse:before,.navbar-header:after,.navbar-header:before,.navbar:after,.navbar:before,.pager:after,.pager:before,.panel-body:after,.panel-body:before,.row:after,.row:before{display:table;content:" "}.btn-group-vertical>.btn-group:after,.btn-toolbar:after,.clearfix:after,.container-fluid:after,.container:after,.dl-horizontal dd:after,.form-horizontal .form-group:after,.modal-footer:after,.nav:after,.navbar-collapse:after,.navbar-header:after,.navbar:after,.pager:after,.panel-body:after,.row:after{clear:both}.center-block{display:block;margin-right:auto;margin-left:auto}.pull-right{float:right!important}.pull-left{float:left!important}.hide{display:none!important}.show{display:block!important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none!important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-lg,.visible-md,.visible-sm,.visible-xs{display:none!important}.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block{display:none!important}@media (max-width:767px){.visible-xs{display:block!important}table.visible-xs{display:table!important}tr.visible-xs{display:table-row!important}td.visible-xs,th.visible-xs{display:table-cell!important}}@media (max-width:767px){.visible-xs-block{display:block!important}}@media (max-width:767px){.visible-xs-inline{display:inline!important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block!important}table.visible-sm{display:table!important}tr.visible-sm{display:table-row!important}td.visible-sm,th.visible-sm{display:table-cell!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block!important}table.visible-md{display:table!important}tr.visible-md{display:table-row!important}td.visible-md,th.visible-md{display:table-cell!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block!important}}@media (min-width:1200px){.visible-lg{display:block!important}table.visible-lg{display:table!important}tr.visible-lg{display:table-row!important}td.visible-lg,th.visible-lg{display:table-cell!important}}@media (min-width:1200px){.visible-lg-block{display:block!important}}@media (min-width:1200px){.visible-lg-inline{display:inline!important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block!important}}@media (max-width:767px){.hidden-xs{display:none!important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none!important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none!important}}@media (min-width:1200px){.hidden-lg{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:block!important}table.visible-print{display:table!important}tr.visible-print{display:table-row!important}td.visible-print,th.visible-print{display:table-cell!important}}.visible-print-block{display:none!important}@media print{.visible-print-block{display:block!important}}.visible-print-inline{display:none!important}@media print{.visible-print-inline{display:inline!important}}.visible-print-inline-block{display:none!important}@media print{.visible-print-inline-block{display:inline-block!important}}@media print{.hidden-print{display:none!important}}
</style>
<script>/*!
 * Bootstrap v3.3.5 (http://getbootstrap.com)
 * Copyright 2011-2015 Twitter, Inc.
 * Licensed under the MIT license
 */
if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery");+function(a){"use strict";var b=a.fn.jquery.split(" ")[0].split(".");if(b[0]<2&&b[1]<9||1==b[0]&&9==b[1]&&b[2]<1)throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher")}(jQuery),+function(a){"use strict";function b(){var a=document.createElement("bootstrap"),b={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var c in b)if(void 0!==a.style[c])return{end:b[c]};return!1}a.fn.emulateTransitionEnd=function(b){var c=!1,d=this;a(this).one("bsTransitionEnd",function(){c=!0});var e=function(){c||a(d).trigger(a.support.transition.end)};return setTimeout(e,b),this},a(function(){a.support.transition=b(),a.support.transition&&(a.event.special.bsTransitionEnd={bindType:a.support.transition.end,delegateType:a.support.transition.end,handle:function(b){return a(b.target).is(this)?b.handleObj.handler.apply(this,arguments):void 0}})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var c=a(this),e=c.data("bs.alert");e||c.data("bs.alert",e=new d(this)),"string"==typeof b&&e[b].call(c)})}var c='[data-dismiss="alert"]',d=function(b){a(b).on("click",c,this.close)};d.VERSION="3.3.5",d.TRANSITION_DURATION=150,d.prototype.close=function(b){function c(){g.detach().trigger("closed.bs.alert").remove()}var e=a(this),f=e.attr("data-target");f||(f=e.attr("href"),f=f&&f.replace(/.*(?=#[^\s]*$)/,""));var g=a(f);b&&b.preventDefault(),g.length||(g=e.closest(".alert")),g.trigger(b=a.Event("close.bs.alert")),b.isDefaultPrevented()||(g.removeClass("in"),a.support.transition&&g.hasClass("fade")?g.one("bsTransitionEnd",c).emulateTransitionEnd(d.TRANSITION_DURATION):c())};var e=a.fn.alert;a.fn.alert=b,a.fn.alert.Constructor=d,a.fn.alert.noConflict=function(){return a.fn.alert=e,this},a(document).on("click.bs.alert.data-api",c,d.prototype.close)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.button"),f="object"==typeof b&&b;e||d.data("bs.button",e=new c(this,f)),"toggle"==b?e.toggle():b&&e.setState(b)})}var c=function(b,d){this.$element=a(b),this.options=a.extend({},c.DEFAULTS,d),this.isLoading=!1};c.VERSION="3.3.5",c.DEFAULTS={loadingText:"loading..."},c.prototype.setState=function(b){var c="disabled",d=this.$element,e=d.is("input")?"val":"html",f=d.data();b+="Text",null==f.resetText&&d.data("resetText",d[e]()),setTimeout(a.proxy(function(){d[e](null==f[b]?this.options[b]:f[b]),"loadingText"==b?(this.isLoading=!0,d.addClass(c).attr(c,c)):this.isLoading&&(this.isLoading=!1,d.removeClass(c).removeAttr(c))},this),0)},c.prototype.toggle=function(){var a=!0,b=this.$element.closest('[data-toggle="buttons"]');if(b.length){var c=this.$element.find("input");"radio"==c.prop("type")?(c.prop("checked")&&(a=!1),b.find(".active").removeClass("active"),this.$element.addClass("active")):"checkbox"==c.prop("type")&&(c.prop("checked")!==this.$element.hasClass("active")&&(a=!1),this.$element.toggleClass("active")),c.prop("checked",this.$element.hasClass("active")),a&&c.trigger("change")}else this.$element.attr("aria-pressed",!this.$element.hasClass("active")),this.$element.toggleClass("active")};var d=a.fn.button;a.fn.button=b,a.fn.button.Constructor=c,a.fn.button.noConflict=function(){return a.fn.button=d,this},a(document).on("click.bs.button.data-api",'[data-toggle^="button"]',function(c){var d=a(c.target);d.hasClass("btn")||(d=d.closest(".btn")),b.call(d,"toggle"),a(c.target).is('input[type="radio"]')||a(c.target).is('input[type="checkbox"]')||c.preventDefault()}).on("focus.bs.button.data-api blur.bs.button.data-api",'[data-toggle^="button"]',function(b){a(b.target).closest(".btn").toggleClass("focus",/^focus(in)?$/.test(b.type))})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.carousel"),f=a.extend({},c.DEFAULTS,d.data(),"object"==typeof b&&b),g="string"==typeof b?b:f.slide;e||d.data("bs.carousel",e=new c(this,f)),"number"==typeof b?e.to(b):g?e[g]():f.interval&&e.pause().cycle()})}var c=function(b,c){this.$element=a(b),this.$indicators=this.$element.find(".carousel-indicators"),this.options=c,this.paused=null,this.sliding=null,this.interval=null,this.$active=null,this.$items=null,this.options.keyboard&&this.$element.on("keydown.bs.carousel",a.proxy(this.keydown,this)),"hover"==this.options.pause&&!("ontouchstart"in document.documentElement)&&this.$element.on("mouseenter.bs.carousel",a.proxy(this.pause,this)).on("mouseleave.bs.carousel",a.proxy(this.cycle,this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=600,c.DEFAULTS={interval:5e3,pause:"hover",wrap:!0,keyboard:!0},c.prototype.keydown=function(a){if(!/input|textarea/i.test(a.target.tagName)){switch(a.which){case 37:this.prev();break;case 39:this.next();break;default:return}a.preventDefault()}},c.prototype.cycle=function(b){return b||(this.paused=!1),this.interval&&clearInterval(this.interval),this.options.interval&&!this.paused&&(this.interval=setInterval(a.proxy(this.next,this),this.options.interval)),this},c.prototype.getItemIndex=function(a){return this.$items=a.parent().children(".item"),this.$items.index(a||this.$active)},c.prototype.getItemForDirection=function(a,b){var c=this.getItemIndex(b),d="prev"==a&&0===c||"next"==a&&c==this.$items.length-1;if(d&&!this.options.wrap)return b;var e="prev"==a?-1:1,f=(c+e)%this.$items.length;return this.$items.eq(f)},c.prototype.to=function(a){var b=this,c=this.getItemIndex(this.$active=this.$element.find(".item.active"));return a>this.$items.length-1||0>a?void 0:this.sliding?this.$element.one("slid.bs.carousel",function(){b.to(a)}):c==a?this.pause().cycle():this.slide(a>c?"next":"prev",this.$items.eq(a))},c.prototype.pause=function(b){return b||(this.paused=!0),this.$element.find(".next, .prev").length&&a.support.transition&&(this.$element.trigger(a.support.transition.end),this.cycle(!0)),this.interval=clearInterval(this.interval),this},c.prototype.next=function(){return this.sliding?void 0:this.slide("next")},c.prototype.prev=function(){return this.sliding?void 0:this.slide("prev")},c.prototype.slide=function(b,d){var e=this.$element.find(".item.active"),f=d||this.getItemForDirection(b,e),g=this.interval,h="next"==b?"left":"right",i=this;if(f.hasClass("active"))return this.sliding=!1;var j=f[0],k=a.Event("slide.bs.carousel",{relatedTarget:j,direction:h});if(this.$element.trigger(k),!k.isDefaultPrevented()){if(this.sliding=!0,g&&this.pause(),this.$indicators.length){this.$indicators.find(".active").removeClass("active");var l=a(this.$indicators.children()[this.getItemIndex(f)]);l&&l.addClass("active")}var m=a.Event("slid.bs.carousel",{relatedTarget:j,direction:h});return a.support.transition&&this.$element.hasClass("slide")?(f.addClass(b),f[0].offsetWidth,e.addClass(h),f.addClass(h),e.one("bsTransitionEnd",function(){f.removeClass([b,h].join(" ")).addClass("active"),e.removeClass(["active",h].join(" ")),i.sliding=!1,setTimeout(function(){i.$element.trigger(m)},0)}).emulateTransitionEnd(c.TRANSITION_DURATION)):(e.removeClass("active"),f.addClass("active"),this.sliding=!1,this.$element.trigger(m)),g&&this.cycle(),this}};var d=a.fn.carousel;a.fn.carousel=b,a.fn.carousel.Constructor=c,a.fn.carousel.noConflict=function(){return a.fn.carousel=d,this};var e=function(c){var d,e=a(this),f=a(e.attr("data-target")||(d=e.attr("href"))&&d.replace(/.*(?=#[^\s]+$)/,""));if(f.hasClass("carousel")){var g=a.extend({},f.data(),e.data()),h=e.attr("data-slide-to");h&&(g.interval=!1),b.call(f,g),h&&f.data("bs.carousel").to(h),c.preventDefault()}};a(document).on("click.bs.carousel.data-api","[data-slide]",e).on("click.bs.carousel.data-api","[data-slide-to]",e),a(window).on("load",function(){a('[data-ride="carousel"]').each(function(){var c=a(this);b.call(c,c.data())})})}(jQuery),+function(a){"use strict";function b(b){var c,d=b.attr("data-target")||(c=b.attr("href"))&&c.replace(/.*(?=#[^\s]+$)/,"");return a(d)}function c(b){return this.each(function(){var c=a(this),e=c.data("bs.collapse"),f=a.extend({},d.DEFAULTS,c.data(),"object"==typeof b&&b);!e&&f.toggle&&/show|hide/.test(b)&&(f.toggle=!1),e||c.data("bs.collapse",e=new d(this,f)),"string"==typeof b&&e[b]()})}var d=function(b,c){this.$element=a(b),this.options=a.extend({},d.DEFAULTS,c),this.$trigger=a('[data-toggle="collapse"][href="#'+b.id+'"],[data-toggle="collapse"][data-target="#'+b.id+'"]'),this.transitioning=null,this.options.parent?this.$parent=this.getParent():this.addAriaAndCollapsedClass(this.$element,this.$trigger),this.options.toggle&&this.toggle()};d.VERSION="3.3.5",d.TRANSITION_DURATION=350,d.DEFAULTS={toggle:!0},d.prototype.dimension=function(){var a=this.$element.hasClass("width");return a?"width":"height"},d.prototype.show=function(){if(!this.transitioning&&!this.$element.hasClass("in")){var b,e=this.$parent&&this.$parent.children(".panel").children(".in, .collapsing");if(!(e&&e.length&&(b=e.data("bs.collapse"),b&&b.transitioning))){var f=a.Event("show.bs.collapse");if(this.$element.trigger(f),!f.isDefaultPrevented()){e&&e.length&&(c.call(e,"hide"),b||e.data("bs.collapse",null));var g=this.dimension();this.$element.removeClass("collapse").addClass("collapsing")[g](0).attr("aria-expanded",!0),this.$trigger.removeClass("collapsed").attr("aria-expanded",!0),this.transitioning=1;var h=function(){this.$element.removeClass("collapsing").addClass("collapse in")[g](""),this.transitioning=0,this.$element.trigger("shown.bs.collapse")};if(!a.support.transition)return h.call(this);var i=a.camelCase(["scroll",g].join("-"));this.$element.one("bsTransitionEnd",a.proxy(h,this)).emulateTransitionEnd(d.TRANSITION_DURATION)[g](this.$element[0][i])}}}},d.prototype.hide=function(){if(!this.transitioning&&this.$element.hasClass("in")){var b=a.Event("hide.bs.collapse");if(this.$element.trigger(b),!b.isDefaultPrevented()){var c=this.dimension();this.$element[c](this.$element[c]())[0].offsetHeight,this.$element.addClass("collapsing").removeClass("collapse in").attr("aria-expanded",!1),this.$trigger.addClass("collapsed").attr("aria-expanded",!1),this.transitioning=1;var e=function(){this.transitioning=0,this.$element.removeClass("collapsing").addClass("collapse").trigger("hidden.bs.collapse")};return a.support.transition?void this.$element[c](0).one("bsTransitionEnd",a.proxy(e,this)).emulateTransitionEnd(d.TRANSITION_DURATION):e.call(this)}}},d.prototype.toggle=function(){this[this.$element.hasClass("in")?"hide":"show"]()},d.prototype.getParent=function(){return a(this.options.parent).find('[data-toggle="collapse"][data-parent="'+this.options.parent+'"]').each(a.proxy(function(c,d){var e=a(d);this.addAriaAndCollapsedClass(b(e),e)},this)).end()},d.prototype.addAriaAndCollapsedClass=function(a,b){var c=a.hasClass("in");a.attr("aria-expanded",c),b.toggleClass("collapsed",!c).attr("aria-expanded",c)};var e=a.fn.collapse;a.fn.collapse=c,a.fn.collapse.Constructor=d,a.fn.collapse.noConflict=function(){return a.fn.collapse=e,this},a(document).on("click.bs.collapse.data-api",'[data-toggle="collapse"]',function(d){var e=a(this);e.attr("data-target")||d.preventDefault();var f=b(e),g=f.data("bs.collapse"),h=g?"toggle":e.data();c.call(f,h)})}(jQuery),+function(a){"use strict";function b(b){var c=b.attr("data-target");c||(c=b.attr("href"),c=c&&/#[A-Za-z]/.test(c)&&c.replace(/.*(?=#[^\s]*$)/,""));var d=c&&a(c);return d&&d.length?d:b.parent()}function c(c){c&&3===c.which||(a(e).remove(),a(f).each(function(){var d=a(this),e=b(d),f={relatedTarget:this};e.hasClass("open")&&(c&&"click"==c.type&&/input|textarea/i.test(c.target.tagName)&&a.contains(e[0],c.target)||(e.trigger(c=a.Event("hide.bs.dropdown",f)),c.isDefaultPrevented()||(d.attr("aria-expanded","false"),e.removeClass("open").trigger("hidden.bs.dropdown",f))))}))}function d(b){return this.each(function(){var c=a(this),d=c.data("bs.dropdown");d||c.data("bs.dropdown",d=new g(this)),"string"==typeof b&&d[b].call(c)})}var e=".dropdown-backdrop",f='[data-toggle="dropdown"]',g=function(b){a(b).on("click.bs.dropdown",this.toggle)};g.VERSION="3.3.5",g.prototype.toggle=function(d){var e=a(this);if(!e.is(".disabled, :disabled")){var f=b(e),g=f.hasClass("open");if(c(),!g){"ontouchstart"in document.documentElement&&!f.closest(".navbar-nav").length&&a(document.createElement("div")).addClass("dropdown-backdrop").insertAfter(a(this)).on("click",c);var h={relatedTarget:this};if(f.trigger(d=a.Event("show.bs.dropdown",h)),d.isDefaultPrevented())return;e.trigger("focus").attr("aria-expanded","true"),f.toggleClass("open").trigger("shown.bs.dropdown",h)}return!1}},g.prototype.keydown=function(c){if(/(38|40|27|32)/.test(c.which)&&!/input|textarea/i.test(c.target.tagName)){var d=a(this);if(c.preventDefault(),c.stopPropagation(),!d.is(".disabled, :disabled")){var e=b(d),g=e.hasClass("open");if(!g&&27!=c.which||g&&27==c.which)return 27==c.which&&e.find(f).trigger("focus"),d.trigger("click");var h=" li:not(.disabled):visible a",i=e.find(".dropdown-menu"+h);if(i.length){var j=i.index(c.target);38==c.which&&j>0&&j--,40==c.which&&j<i.length-1&&j++,~j||(j=0),i.eq(j).trigger("focus")}}}};var h=a.fn.dropdown;a.fn.dropdown=d,a.fn.dropdown.Constructor=g,a.fn.dropdown.noConflict=function(){return a.fn.dropdown=h,this},a(document).on("click.bs.dropdown.data-api",c).on("click.bs.dropdown.data-api",".dropdown form",function(a){a.stopPropagation()}).on("click.bs.dropdown.data-api",f,g.prototype.toggle).on("keydown.bs.dropdown.data-api",f,g.prototype.keydown).on("keydown.bs.dropdown.data-api",".dropdown-menu",g.prototype.keydown)}(jQuery),+function(a){"use strict";function b(b,d){return this.each(function(){var e=a(this),f=e.data("bs.modal"),g=a.extend({},c.DEFAULTS,e.data(),"object"==typeof b&&b);f||e.data("bs.modal",f=new c(this,g)),"string"==typeof b?f[b](d):g.show&&f.show(d)})}var c=function(b,c){this.options=c,this.$body=a(document.body),this.$element=a(b),this.$dialog=this.$element.find(".modal-dialog"),this.$backdrop=null,this.isShown=null,this.originalBodyPad=null,this.scrollbarWidth=0,this.ignoreBackdropClick=!1,this.options.remote&&this.$element.find(".modal-content").load(this.options.remote,a.proxy(function(){this.$element.trigger("loaded.bs.modal")},this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=300,c.BACKDROP_TRANSITION_DURATION=150,c.DEFAULTS={backdrop:!0,keyboard:!0,show:!0},c.prototype.toggle=function(a){return this.isShown?this.hide():this.show(a)},c.prototype.show=function(b){var d=this,e=a.Event("show.bs.modal",{relatedTarget:b});this.$element.trigger(e),this.isShown||e.isDefaultPrevented()||(this.isShown=!0,this.checkScrollbar(),this.setScrollbar(),this.$body.addClass("modal-open"),this.escape(),this.resize(),this.$element.on("click.dismiss.bs.modal",'[data-dismiss="modal"]',a.proxy(this.hide,this)),this.$dialog.on("mousedown.dismiss.bs.modal",function(){d.$element.one("mouseup.dismiss.bs.modal",function(b){a(b.target).is(d.$element)&&(d.ignoreBackdropClick=!0)})}),this.backdrop(function(){var e=a.support.transition&&d.$element.hasClass("fade");d.$element.parent().length||d.$element.appendTo(d.$body),d.$element.show().scrollTop(0),d.adjustDialog(),e&&d.$element[0].offsetWidth,d.$element.addClass("in"),d.enforceFocus();var f=a.Event("shown.bs.modal",{relatedTarget:b});e?d.$dialog.one("bsTransitionEnd",function(){d.$element.trigger("focus").trigger(f)}).emulateTransitionEnd(c.TRANSITION_DURATION):d.$element.trigger("focus").trigger(f)}))},c.prototype.hide=function(b){b&&b.preventDefault(),b=a.Event("hide.bs.modal"),this.$element.trigger(b),this.isShown&&!b.isDefaultPrevented()&&(this.isShown=!1,this.escape(),this.resize(),a(document).off("focusin.bs.modal"),this.$element.removeClass("in").off("click.dismiss.bs.modal").off("mouseup.dismiss.bs.modal"),this.$dialog.off("mousedown.dismiss.bs.modal"),a.support.transition&&this.$element.hasClass("fade")?this.$element.one("bsTransitionEnd",a.proxy(this.hideModal,this)).emulateTransitionEnd(c.TRANSITION_DURATION):this.hideModal())},c.prototype.enforceFocus=function(){a(document).off("focusin.bs.modal").on("focusin.bs.modal",a.proxy(function(a){this.$element[0]===a.target||this.$element.has(a.target).length||this.$element.trigger("focus")},this))},c.prototype.escape=function(){this.isShown&&this.options.keyboard?this.$element.on("keydown.dismiss.bs.modal",a.proxy(function(a){27==a.which&&this.hide()},this)):this.isShown||this.$element.off("keydown.dismiss.bs.modal")},c.prototype.resize=function(){this.isShown?a(window).on("resize.bs.modal",a.proxy(this.handleUpdate,this)):a(window).off("resize.bs.modal")},c.prototype.hideModal=function(){var a=this;this.$element.hide(),this.backdrop(function(){a.$body.removeClass("modal-open"),a.resetAdjustments(),a.resetScrollbar(),a.$element.trigger("hidden.bs.modal")})},c.prototype.removeBackdrop=function(){this.$backdrop&&this.$backdrop.remove(),this.$backdrop=null},c.prototype.backdrop=function(b){var d=this,e=this.$element.hasClass("fade")?"fade":"";if(this.isShown&&this.options.backdrop){var f=a.support.transition&&e;if(this.$backdrop=a(document.createElement("div")).addClass("modal-backdrop "+e).appendTo(this.$body),this.$element.on("click.dismiss.bs.modal",a.proxy(function(a){return this.ignoreBackdropClick?void(this.ignoreBackdropClick=!1):void(a.target===a.currentTarget&&("static"==this.options.backdrop?this.$element[0].focus():this.hide()))},this)),f&&this.$backdrop[0].offsetWidth,this.$backdrop.addClass("in"),!b)return;f?this.$backdrop.one("bsTransitionEnd",b).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):b()}else if(!this.isShown&&this.$backdrop){this.$backdrop.removeClass("in");var g=function(){d.removeBackdrop(),b&&b()};a.support.transition&&this.$element.hasClass("fade")?this.$backdrop.one("bsTransitionEnd",g).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):g()}else b&&b()},c.prototype.handleUpdate=function(){this.adjustDialog()},c.prototype.adjustDialog=function(){var a=this.$element[0].scrollHeight>document.documentElement.clientHeight;this.$element.css({paddingLeft:!this.bodyIsOverflowing&&a?this.scrollbarWidth:"",paddingRight:this.bodyIsOverflowing&&!a?this.scrollbarWidth:""})},c.prototype.resetAdjustments=function(){this.$element.css({paddingLeft:"",paddingRight:""})},c.prototype.checkScrollbar=function(){var a=window.innerWidth;if(!a){var b=document.documentElement.getBoundingClientRect();a=b.right-Math.abs(b.left)}this.bodyIsOverflowing=document.body.clientWidth<a,this.scrollbarWidth=this.measureScrollbar()},c.prototype.setScrollbar=function(){var a=parseInt(this.$body.css("padding-right")||0,10);this.originalBodyPad=document.body.style.paddingRight||"",this.bodyIsOverflowing&&this.$body.css("padding-right",a+this.scrollbarWidth)},c.prototype.resetScrollbar=function(){this.$body.css("padding-right",this.originalBodyPad)},c.prototype.measureScrollbar=function(){var a=document.createElement("div");a.className="modal-scrollbar-measure",this.$body.append(a);var b=a.offsetWidth-a.clientWidth;return this.$body[0].removeChild(a),b};var d=a.fn.modal;a.fn.modal=b,a.fn.modal.Constructor=c,a.fn.modal.noConflict=function(){return a.fn.modal=d,this},a(document).on("click.bs.modal.data-api",'[data-toggle="modal"]',function(c){var d=a(this),e=d.attr("href"),f=a(d.attr("data-target")||e&&e.replace(/.*(?=#[^\s]+$)/,"")),g=f.data("bs.modal")?"toggle":a.extend({remote:!/#/.test(e)&&e},f.data(),d.data());d.is("a")&&c.preventDefault(),f.one("show.bs.modal",function(a){a.isDefaultPrevented()||f.one("hidden.bs.modal",function(){d.is(":visible")&&d.trigger("focus")})}),b.call(f,g,this)})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tooltip"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.tooltip",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.type=null,this.options=null,this.enabled=null,this.timeout=null,this.hoverState=null,this.$element=null,this.inState=null,this.init("tooltip",a,b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.DEFAULTS={animation:!0,placement:"top",selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,container:!1,viewport:{selector:"body",padding:0}},c.prototype.init=function(b,c,d){if(this.enabled=!0,this.type=b,this.$element=a(c),this.options=this.getOptions(d),this.$viewport=this.options.viewport&&a(a.isFunction(this.options.viewport)?this.options.viewport.call(this,this.$element):this.options.viewport.selector||this.options.viewport),this.inState={click:!1,hover:!1,focus:!1},this.$element[0]instanceof document.constructor&&!this.options.selector)throw new Error("`selector` option must be specified when initializing "+this.type+" on the window.document object!");for(var e=this.options.trigger.split(" "),f=e.length;f--;){var g=e[f];if("click"==g)this.$element.on("click."+this.type,this.options.selector,a.proxy(this.toggle,this));else if("manual"!=g){var h="hover"==g?"mouseenter":"focusin",i="hover"==g?"mouseleave":"focusout";this.$element.on(h+"."+this.type,this.options.selector,a.proxy(this.enter,this)),this.$element.on(i+"."+this.type,this.options.selector,a.proxy(this.leave,this))}}this.options.selector?this._options=a.extend({},this.options,{trigger:"manual",selector:""}):this.fixTitle()},c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.getOptions=function(b){return b=a.extend({},this.getDefaults(),this.$element.data(),b),b.delay&&"number"==typeof b.delay&&(b.delay={show:b.delay,hide:b.delay}),b},c.prototype.getDelegateOptions=function(){var b={},c=this.getDefaults();return this._options&&a.each(this._options,function(a,d){c[a]!=d&&(b[a]=d)}),b},c.prototype.enter=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusin"==b.type?"focus":"hover"]=!0),c.tip().hasClass("in")||"in"==c.hoverState?void(c.hoverState="in"):(clearTimeout(c.timeout),c.hoverState="in",c.options.delay&&c.options.delay.show?void(c.timeout=setTimeout(function(){"in"==c.hoverState&&c.show()},c.options.delay.show)):c.show())},c.prototype.isInStateTrue=function(){for(var a in this.inState)if(this.inState[a])return!0;return!1},c.prototype.leave=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusout"==b.type?"focus":"hover"]=!1),c.isInStateTrue()?void 0:(clearTimeout(c.timeout),c.hoverState="out",c.options.delay&&c.options.delay.hide?void(c.timeout=setTimeout(function(){"out"==c.hoverState&&c.hide()},c.options.delay.hide)):c.hide())},c.prototype.show=function(){var b=a.Event("show.bs."+this.type);if(this.hasContent()&&this.enabled){this.$element.trigger(b);var d=a.contains(this.$element[0].ownerDocument.documentElement,this.$element[0]);if(b.isDefaultPrevented()||!d)return;var e=this,f=this.tip(),g=this.getUID(this.type);this.setContent(),f.attr("id",g),this.$element.attr("aria-describedby",g),this.options.animation&&f.addClass("fade");var h="function"==typeof this.options.placement?this.options.placement.call(this,f[0],this.$element[0]):this.options.placement,i=/\s?auto?\s?/i,j=i.test(h);j&&(h=h.replace(i,"")||"top"),f.detach().css({top:0,left:0,display:"block"}).addClass(h).data("bs."+this.type,this),this.options.container?f.appendTo(this.options.container):f.insertAfter(this.$element),this.$element.trigger("inserted.bs."+this.type);var k=this.getPosition(),l=f[0].offsetWidth,m=f[0].offsetHeight;if(j){var n=h,o=this.getPosition(this.$viewport);h="bottom"==h&&k.bottom+m>o.bottom?"top":"top"==h&&k.top-m<o.top?"bottom":"right"==h&&k.right+l>o.width?"left":"left"==h&&k.left-l<o.left?"right":h,f.removeClass(n).addClass(h)}var p=this.getCalculatedOffset(h,k,l,m);this.applyPlacement(p,h);var q=function(){var a=e.hoverState;e.$element.trigger("shown.bs."+e.type),e.hoverState=null,"out"==a&&e.leave(e)};a.support.transition&&this.$tip.hasClass("fade")?f.one("bsTransitionEnd",q).emulateTransitionEnd(c.TRANSITION_DURATION):q()}},c.prototype.applyPlacement=function(b,c){var d=this.tip(),e=d[0].offsetWidth,f=d[0].offsetHeight,g=parseInt(d.css("margin-top"),10),h=parseInt(d.css("margin-left"),10);isNaN(g)&&(g=0),isNaN(h)&&(h=0),b.top+=g,b.left+=h,a.offset.setOffset(d[0],a.extend({using:function(a){d.css({top:Math.round(a.top),left:Math.round(a.left)})}},b),0),d.addClass("in");var i=d[0].offsetWidth,j=d[0].offsetHeight;"top"==c&&j!=f&&(b.top=b.top+f-j);var k=this.getViewportAdjustedDelta(c,b,i,j);k.left?b.left+=k.left:b.top+=k.top;var l=/top|bottom/.test(c),m=l?2*k.left-e+i:2*k.top-f+j,n=l?"offsetWidth":"offsetHeight";d.offset(b),this.replaceArrow(m,d[0][n],l)},c.prototype.replaceArrow=function(a,b,c){this.arrow().css(c?"left":"top",50*(1-a/b)+"%").css(c?"top":"left","")},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle();a.find(".tooltip-inner")[this.options.html?"html":"text"](b),a.removeClass("fade in top bottom left right")},c.prototype.hide=function(b){function d(){"in"!=e.hoverState&&f.detach(),e.$element.removeAttr("aria-describedby").trigger("hidden.bs."+e.type),b&&b()}var e=this,f=a(this.$tip),g=a.Event("hide.bs."+this.type);return this.$element.trigger(g),g.isDefaultPrevented()?void 0:(f.removeClass("in"),a.support.transition&&f.hasClass("fade")?f.one("bsTransitionEnd",d).emulateTransitionEnd(c.TRANSITION_DURATION):d(),this.hoverState=null,this)},c.prototype.fixTitle=function(){var a=this.$element;(a.attr("title")||"string"!=typeof a.attr("data-original-title"))&&a.attr("data-original-title",a.attr("title")||"").attr("title","")},c.prototype.hasContent=function(){return this.getTitle()},c.prototype.getPosition=function(b){b=b||this.$element;var c=b[0],d="BODY"==c.tagName,e=c.getBoundingClientRect();null==e.width&&(e=a.extend({},e,{width:e.right-e.left,height:e.bottom-e.top}));var f=d?{top:0,left:0}:b.offset(),g={scroll:d?document.documentElement.scrollTop||document.body.scrollTop:b.scrollTop()},h=d?{width:a(window).width(),height:a(window).height()}:null;return a.extend({},e,g,h,f)},c.prototype.getCalculatedOffset=function(a,b,c,d){return"bottom"==a?{top:b.top+b.height,left:b.left+b.width/2-c/2}:"top"==a?{top:b.top-d,left:b.left+b.width/2-c/2}:"left"==a?{top:b.top+b.height/2-d/2,left:b.left-c}:{top:b.top+b.height/2-d/2,left:b.left+b.width}},c.prototype.getViewportAdjustedDelta=function(a,b,c,d){var e={top:0,left:0};if(!this.$viewport)return e;var f=this.options.viewport&&this.options.viewport.padding||0,g=this.getPosition(this.$viewport);if(/right|left/.test(a)){var h=b.top-f-g.scroll,i=b.top+f-g.scroll+d;h<g.top?e.top=g.top-h:i>g.top+g.height&&(e.top=g.top+g.height-i)}else{var j=b.left-f,k=b.left+f+c;j<g.left?e.left=g.left-j:k>g.right&&(e.left=g.left+g.width-k)}return e},c.prototype.getTitle=function(){var a,b=this.$element,c=this.options;return a=b.attr("data-original-title")||("function"==typeof c.title?c.title.call(b[0]):c.title)},c.prototype.getUID=function(a){do a+=~~(1e6*Math.random());while(document.getElementById(a));return a},c.prototype.tip=function(){if(!this.$tip&&(this.$tip=a(this.options.template),1!=this.$tip.length))throw new Error(this.type+" `template` option must consist of exactly 1 top-level element!");return this.$tip},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".tooltip-arrow")},c.prototype.enable=function(){this.enabled=!0},c.prototype.disable=function(){this.enabled=!1},c.prototype.toggleEnabled=function(){this.enabled=!this.enabled},c.prototype.toggle=function(b){var c=this;b&&(c=a(b.currentTarget).data("bs."+this.type),c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c))),b?(c.inState.click=!c.inState.click,c.isInStateTrue()?c.enter(c):c.leave(c)):c.tip().hasClass("in")?c.leave(c):c.enter(c)},c.prototype.destroy=function(){var a=this;clearTimeout(this.timeout),this.hide(function(){a.$element.off("."+a.type).removeData("bs."+a.type),a.$tip&&a.$tip.detach(),a.$tip=null,a.$arrow=null,a.$viewport=null})};var d=a.fn.tooltip;a.fn.tooltip=b,a.fn.tooltip.Constructor=c,a.fn.tooltip.noConflict=function(){return a.fn.tooltip=d,this}}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.popover"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.popover",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.init("popover",a,b)};if(!a.fn.tooltip)throw new Error("Popover requires tooltip.js");c.VERSION="3.3.5",c.DEFAULTS=a.extend({},a.fn.tooltip.Constructor.DEFAULTS,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'}),c.prototype=a.extend({},a.fn.tooltip.Constructor.prototype),c.prototype.constructor=c,c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle(),c=this.getContent();a.find(".popover-title")[this.options.html?"html":"text"](b),a.find(".popover-content").children().detach().end()[this.options.html?"string"==typeof c?"html":"append":"text"](c),a.removeClass("fade top bottom left right in"),a.find(".popover-title").html()||a.find(".popover-title").hide()},c.prototype.hasContent=function(){return this.getTitle()||this.getContent()},c.prototype.getContent=function(){var a=this.$element,b=this.options;return a.attr("data-content")||("function"==typeof b.content?b.content.call(a[0]):b.content)},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".arrow")};var d=a.fn.popover;a.fn.popover=b,a.fn.popover.Constructor=c,a.fn.popover.noConflict=function(){return a.fn.popover=d,this}}(jQuery),+function(a){"use strict";function b(c,d){this.$body=a(document.body),this.$scrollElement=a(a(c).is(document.body)?window:c),this.options=a.extend({},b.DEFAULTS,d),this.selector=(this.options.target||"")+" .nav li > a",this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on("scroll.bs.scrollspy",a.proxy(this.process,this)),this.refresh(),this.process()}function c(c){return this.each(function(){var d=a(this),e=d.data("bs.scrollspy"),f="object"==typeof c&&c;e||d.data("bs.scrollspy",e=new b(this,f)),"string"==typeof c&&e[c]()})}b.VERSION="3.3.5",b.DEFAULTS={offset:10},b.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},b.prototype.refresh=function(){var b=this,c="offset",d=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),a.isWindow(this.$scrollElement[0])||(c="position",d=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var b=a(this),e=b.data("target")||b.attr("href"),f=/^#./.test(e)&&a(e);return f&&f.length&&f.is(":visible")&&[[f[c]().top+d,e]]||null}).sort(function(a,b){return a[0]-b[0]}).each(function(){b.offsets.push(this[0]),b.targets.push(this[1])})},b.prototype.process=function(){var a,b=this.$scrollElement.scrollTop()+this.options.offset,c=this.getScrollHeight(),d=this.options.offset+c-this.$scrollElement.height(),e=this.offsets,f=this.targets,g=this.activeTarget;if(this.scrollHeight!=c&&this.refresh(),b>=d)return g!=(a=f[f.length-1])&&this.activate(a);if(g&&b<e[0])return this.activeTarget=null,this.clear();for(a=e.length;a--;)g!=f[a]&&b>=e[a]&&(void 0===e[a+1]||b<e[a+1])&&this.activate(f[a])},b.prototype.activate=function(b){this.activeTarget=b,this.clear();var c=this.selector+'[data-target="'+b+'"],'+this.selector+'[href="'+b+'"]',d=a(c).parents("li").addClass("active");d.parent(".dropdown-menu").length&&(d=d.closest("li.dropdown").addClass("active")),
d.trigger("activate.bs.scrollspy")},b.prototype.clear=function(){a(this.selector).parentsUntil(this.options.target,".active").removeClass("active")};var d=a.fn.scrollspy;a.fn.scrollspy=c,a.fn.scrollspy.Constructor=b,a.fn.scrollspy.noConflict=function(){return a.fn.scrollspy=d,this},a(window).on("load.bs.scrollspy.data-api",function(){a('[data-spy="scroll"]').each(function(){var b=a(this);c.call(b,b.data())})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tab");e||d.data("bs.tab",e=new c(this)),"string"==typeof b&&e[b]()})}var c=function(b){this.element=a(b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.prototype.show=function(){var b=this.element,c=b.closest("ul:not(.dropdown-menu)"),d=b.data("target");if(d||(d=b.attr("href"),d=d&&d.replace(/.*(?=#[^\s]*$)/,"")),!b.parent("li").hasClass("active")){var e=c.find(".active:last a"),f=a.Event("hide.bs.tab",{relatedTarget:b[0]}),g=a.Event("show.bs.tab",{relatedTarget:e[0]});if(e.trigger(f),b.trigger(g),!g.isDefaultPrevented()&&!f.isDefaultPrevented()){var h=a(d);this.activate(b.closest("li"),c),this.activate(h,h.parent(),function(){e.trigger({type:"hidden.bs.tab",relatedTarget:b[0]}),b.trigger({type:"shown.bs.tab",relatedTarget:e[0]})})}}},c.prototype.activate=function(b,d,e){function f(){g.removeClass("active").find("> .dropdown-menu > .active").removeClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!1),b.addClass("active").find('[data-toggle="tab"]').attr("aria-expanded",!0),h?(b[0].offsetWidth,b.addClass("in")):b.removeClass("fade"),b.parent(".dropdown-menu").length&&b.closest("li.dropdown").addClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!0),e&&e()}var g=d.find("> .active"),h=e&&a.support.transition&&(g.length&&g.hasClass("fade")||!!d.find("> .fade").length);g.length&&h?g.one("bsTransitionEnd",f).emulateTransitionEnd(c.TRANSITION_DURATION):f(),g.removeClass("in")};var d=a.fn.tab;a.fn.tab=b,a.fn.tab.Constructor=c,a.fn.tab.noConflict=function(){return a.fn.tab=d,this};var e=function(c){c.preventDefault(),b.call(a(this),"show")};a(document).on("click.bs.tab.data-api",'[data-toggle="tab"]',e).on("click.bs.tab.data-api",'[data-toggle="pill"]',e)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.affix"),f="object"==typeof b&&b;e||d.data("bs.affix",e=new c(this,f)),"string"==typeof b&&e[b]()})}var c=function(b,d){this.options=a.extend({},c.DEFAULTS,d),this.$target=a(this.options.target).on("scroll.bs.affix.data-api",a.proxy(this.checkPosition,this)).on("click.bs.affix.data-api",a.proxy(this.checkPositionWithEventLoop,this)),this.$element=a(b),this.affixed=null,this.unpin=null,this.pinnedOffset=null,this.checkPosition()};c.VERSION="3.3.5",c.RESET="affix affix-top affix-bottom",c.DEFAULTS={offset:0,target:window},c.prototype.getState=function(a,b,c,d){var e=this.$target.scrollTop(),f=this.$element.offset(),g=this.$target.height();if(null!=c&&"top"==this.affixed)return c>e?"top":!1;if("bottom"==this.affixed)return null!=c?e+this.unpin<=f.top?!1:"bottom":a-d>=e+g?!1:"bottom";var h=null==this.affixed,i=h?e:f.top,j=h?g:b;return null!=c&&c>=e?"top":null!=d&&i+j>=a-d?"bottom":!1},c.prototype.getPinnedOffset=function(){if(this.pinnedOffset)return this.pinnedOffset;this.$element.removeClass(c.RESET).addClass("affix");var a=this.$target.scrollTop(),b=this.$element.offset();return this.pinnedOffset=b.top-a},c.prototype.checkPositionWithEventLoop=function(){setTimeout(a.proxy(this.checkPosition,this),1)},c.prototype.checkPosition=function(){if(this.$element.is(":visible")){var b=this.$element.height(),d=this.options.offset,e=d.top,f=d.bottom,g=Math.max(a(document).height(),a(document.body).height());"object"!=typeof d&&(f=e=d),"function"==typeof e&&(e=d.top(this.$element)),"function"==typeof f&&(f=d.bottom(this.$element));var h=this.getState(g,b,e,f);if(this.affixed!=h){null!=this.unpin&&this.$element.css("top","");var i="affix"+(h?"-"+h:""),j=a.Event(i+".bs.affix");if(this.$element.trigger(j),j.isDefaultPrevented())return;this.affixed=h,this.unpin="bottom"==h?this.getPinnedOffset():null,this.$element.removeClass(c.RESET).addClass(i).trigger(i.replace("affix","affixed")+".bs.affix")}"bottom"==h&&this.$element.offset({top:g-b-f})}};var d=a.fn.affix;a.fn.affix=b,a.fn.affix.Constructor=c,a.fn.affix.noConflict=function(){return a.fn.affix=d,this},a(window).on("load",function(){a('[data-spy="affix"]').each(function(){var c=a(this),d=c.data();d.offset=d.offset||{},null!=d.offsetBottom&&(d.offset.bottom=d.offsetBottom),null!=d.offsetTop&&(d.offset.top=d.offsetTop),b.call(c,d)})})}(jQuery);</script>
<script>/**
* @preserve HTML5 Shiv 3.7.2 | @afarkas @jdalton @jon_neal @rem | MIT/GPL2 Licensed
*/
// Only run this code in IE 8
if (!!window.navigator.userAgent.match("MSIE 8")) {
!function(a,b){function c(a,b){var c=a.createElement("p"),d=a.getElementsByTagName("head")[0]||a.documentElement;return c.innerHTML="x<style>"+b+"</style>",d.insertBefore(c.lastChild,d.firstChild)}function d(){var a=t.elements;return"string"==typeof a?a.split(" "):a}function e(a,b){var c=t.elements;"string"!=typeof c&&(c=c.join(" ")),"string"!=typeof a&&(a=a.join(" ")),t.elements=c+" "+a,j(b)}function f(a){var b=s[a[q]];return b||(b={},r++,a[q]=r,s[r]=b),b}function g(a,c,d){if(c||(c=b),l)return c.createElement(a);d||(d=f(c));var e;return e=d.cache[a]?d.cache[a].cloneNode():p.test(a)?(d.cache[a]=d.createElem(a)).cloneNode():d.createElem(a),!e.canHaveChildren||o.test(a)||e.tagUrn?e:d.frag.appendChild(e)}function h(a,c){if(a||(a=b),l)return a.createDocumentFragment();c=c||f(a);for(var e=c.frag.cloneNode(),g=0,h=d(),i=h.length;i>g;g++)e.createElement(h[g]);return e}function i(a,b){b.cache||(b.cache={},b.createElem=a.createElement,b.createFrag=a.createDocumentFragment,b.frag=b.createFrag()),a.createElement=function(c){return t.shivMethods?g(c,a,b):b.createElem(c)},a.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+d().join().replace(/[\w\-:]+/g,function(a){return b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.2",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==!1,type:"default",shivDocument:j,createElement:g,createDocumentFragment:h,addElements:e};a.html5=t,j(b)}(this,document);
};
</script>
<script>/*! Respond.js v1.4.2: min/max-width media query polyfill * Copyright 2013 Scott Jehl
 * Licensed under https://github.com/scottjehl/Respond/blob/master/LICENSE-MIT
 *  */

// Only run this code in IE 8
if (!!window.navigator.userAgent.match("MSIE 8")) {
!function(a){"use strict";a.matchMedia=a.matchMedia||function(a){var b,c=a.documentElement,d=c.firstElementChild||c.firstChild,e=a.createElement("body"),f=a.createElement("div");return f.id="mq-test-1",f.style.cssText="position:absolute;top:-100em",e.style.background="none",e.appendChild(f),function(a){return f.innerHTML='&shy;<style media="'+a+'"> #mq-test-1 { width: 42px; }</style>',c.insertBefore(e,d),b=42===f.offsetWidth,c.removeChild(e),{matches:b,media:a}}}(a.document)}(this),function(a){"use strict";function b(){u(!0)}var c={};a.respond=c,c.update=function(){};var d=[],e=function(){var b=!1;try{b=new a.XMLHttpRequest}catch(c){b=new a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media *([^\{]+)\{([\S\s]+?)$/,only:/(only\s+)?([a-zA-Z]+)\s?/,minw:/\([\s]*min\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/,maxw:/\([\s]*max\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/},c.mediaQueriesSupported=a.matchMedia&&null!==a.matchMedia("only all")&&a.matchMedia("only all").matches,!c.mediaQueriesSupported){var g,h,i,j=a.document,k=j.documentElement,l=[],m=[],n=[],o={},p=30,q=j.getElementsByTagName("head")[0]||k,r=j.getElementsByTagName("base")[0],s=q.getElementsByTagName("link"),t=function(){var a,b=j.createElement("div"),c=j.body,d=k.style.fontSize,e=c&&c.style.fontSize,f=!1;return b.style.cssText="position:absolute;font-size:1em;width:1em",c||(c=f=j.createElement("body"),c.style.background="none"),k.style.fontSize="100%",c.style.fontSize="100%",c.appendChild(b),f&&k.insertBefore(c,k.firstChild),a=b.offsetWidth,f?k.removeChild(c):c.removeChild(b),k.style.fontSize=d,e&&(c.style.fontSize=e),a=i=parseFloat(a)},u=function(b){var c="clientWidth",d=k[c],e="CSS1Compat"===j.compatMode&&d||j.body[c]||d,f={},o=s[s.length-1],r=(new Date).getTime();if(b&&g&&p>r-g)return a.clearTimeout(h),h=a.setTimeout(u,p),void 0;g=r;for(var v in l)if(l.hasOwnProperty(v)){var w=l[v],x=w.minw,y=w.maxw,z=null===x,A=null===y,B="em";x&&(x=parseFloat(x)*(x.indexOf(B)>-1?i||t():1)),y&&(y=parseFloat(y)*(y.indexOf(B)>-1?i||t():1)),w.hasquery&&(z&&A||!(z||e>=x)||!(A||y>=e))||(f[w.media]||(f[w.media]=[]),f[w.media].push(m[w.rules]))}for(var C in n)n.hasOwnProperty(C)&&n[C]&&n[C].parentNode===q&&q.removeChild(n[C]);n.length=0;for(var D in f)if(f.hasOwnProperty(D)){var E=j.createElement("style"),F=f[D].join("\n");E.type="text/css",E.media=D,q.insertBefore(E,o.nextSibling),E.styleSheet?E.styleSheet.cssText=F:E.appendChild(j.createTextNode(F)),n.push(E)}},v=function(a,b,d){var e=a.replace(c.regex.keyframes,"").match(c.regex.media),f=e&&e.length||0;b=b.substring(0,b.lastIndexOf("/"));var g=function(a){return a.replace(c.regex.urls,"$1"+b+"$2$3")},h=!f&&d;b.length&&(b+="/"),h&&(f=1);for(var i=0;f>i;i++){var j,k,n,o;h?(j=d,m.push(g(a))):(j=e[i].match(c.regex.findStyles)&&RegExp.$1,m.push(RegExp.$2&&g(RegExp.$2))),n=j.split(","),o=n.length;for(var p=0;o>p;p++)k=n[p],l.push({media:k.split("(")[0].match(c.regex.only)&&RegExp.$2||"all",rules:m.length-1,hasquery:k.indexOf("(")>-1,minw:k.match(c.regex.minw)&&parseFloat(RegExp.$1)+(RegExp.$2||""),maxw:k.match(c.regex.maxw)&&parseFloat(RegExp.$1)+(RegExp.$2||"")})}u()},w=function(){if(d.length){var b=d.shift();f(b.href,function(c){v(c,b.href,b.media),o[b.href]=!0,a.setTimeout(function(){w()},0)})}},x=function(){for(var b=0;b<s.length;b++){var c=s[b],e=c.href,f=c.media,g=c.rel&&"stylesheet"===c.rel.toLowerCase();e&&g&&!o[e]&&(c.styleSheet&&c.styleSheet.rawCssText?(v(c.styleSheet.rawCssText,e,f),o[e]=!0):(!/^([a-zA-Z:]*\/\/)/.test(e)&&!r||e.replace(RegExp.$1,"").split("/")[0]===a.location.host)&&("//"===e.substring(0,2)&&(e=a.location.protocol+e),d.push({href:e,media:f})))}w()};x(),c.update=x,c.getEmValue=t,a.addEventListener?a.addEventListener("resize",b,!1):a.attachEvent&&a.attachEvent("onresize",b)}}(this);
};
</script>
<style>h1 {font-size: 34px;}
h1.title {font-size: 38px;}
h2 {font-size: 30px;}
h3 {font-size: 24px;}
h4 {font-size: 18px;}
h5 {font-size: 16px;}
h6 {font-size: 12px;}
code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
pre:not([class]) { background-color: white }</style>
<script>

/**
 * jQuery Plugin: Sticky Tabs
 *
 * @author Aidan Lister <aidan@php.net>
 * adapted by Ruben Arslan to activate parent tabs too
 * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
 */
(function($) {
  "use strict";
  $.fn.rmarkdownStickyTabs = function() {
    var context = this;
    // Show the tab corresponding with the hash in the URL, or the first tab
    var showStuffFromHash = function() {
      var hash = window.location.hash;
      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
      var $selector = $(selector, context);
      if($selector.data('toggle') === "tab") {
        $selector.tab('show');
        // walk up the ancestors of this element, show any hidden tabs
        $selector.parents('.section.tabset').each(function(i, elm) {
          var link = $('a[href="#' + $(elm).attr('id') + '"]');
          if(link.data('toggle') === "tab") {
            link.tab("show");
          }
        });
      }
    };


    // Set the correct tab when the page loads
    showStuffFromHash(context);

    // Set the correct tab when a user uses their back/forward button
    $(window).on('hashchange', function() {
      showStuffFromHash(context);
    });

    // Change the URL when tabs are clicked
    $('a', context).on('click', function(e) {
      history.pushState(null, null, this.href);
      showStuffFromHash(context);
    });

    return this;
  };
}(jQuery));

window.buildTabsets = function(tocID) {

  // build a tabset from a section div with the .tabset class
  function buildTabset(tabset) {

    // check for fade and pills options
    var fade = tabset.hasClass("tabset-fade");
    var pills = tabset.hasClass("tabset-pills");
    var navClass = pills ? "nav-pills" : "nav-tabs";

    // determine the heading level of the tabset and tabs
    var match = tabset.attr('class').match(/level(\d) /);
    if (match === null)
      return;
    var tabsetLevel = Number(match[1]);
    var tabLevel = tabsetLevel + 1;

    // find all subheadings immediately below
    var tabs = tabset.find("div.section.level" + tabLevel);
    if (!tabs.length)
      return;

    // create tablist and tab-content elements
    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
    $(tabs[0]).before(tabList);
    var tabContent = $('<div class="tab-content"></div>');
    $(tabs[0]).before(tabContent);

    // build the tabset
    var activeTab = 0;
    tabs.each(function(i) {

      // get the tab div
      var tab = $(tabs[i]);

      // get the id then sanitize it for use with bootstrap tabs
      var id = tab.attr('id');

      // see if this is marked as the active tab
      if (tab.hasClass('active'))
        activeTab = i;

      // remove any table of contents entries associated with
      // this ID (since we'll be removing the heading element)
      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();

      // sanitize the id for use with bootstrap tabs
      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
      tab.attr('id', id);

      // get the heading element within it, grab it's text, then remove it
      var heading = tab.find('h' + tabLevel + ':first');
      var headingText = heading.html();
      heading.remove();

      // build and append the tab list item
      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
      a.attr('href', '#' + id);
      a.attr('aria-controls', id);
      var li = $('<li role="presentation"></li>');
      li.append(a);
      tabList.append(li);

      // set it's attributes
      tab.attr('role', 'tabpanel');
      tab.addClass('tab-pane');
      tab.addClass('tabbed-pane');
      if (fade)
        tab.addClass('fade');

      // move it into the tab content div
      tab.detach().appendTo(tabContent);
    });

    // set active tab
    $(tabList.children('li')[activeTab]).addClass('active');
    var active = $(tabContent.children('div.section')[activeTab]);
    active.addClass('active');
    if (fade)
      active.addClass('in');

    if (tabset.hasClass("tabset-sticky"))
      tabset.rmarkdownStickyTabs();
  }

  // convert section divs with the .tabset class to tabsets
  var tabsets = $("div.section.tabset");
  tabsets.each(function(i) {
    buildTabset($(tabsets[i]));
  });
};

</script>
<style type="text/css">.hljs-literal {
color: #990073;
}
.hljs-number {
color: #099;
}
.hljs-comment {
color: #998;
font-style: italic;
}
.hljs-keyword {
color: #900;
font-weight: bold;
}
.hljs-string {
color: #d14;
}
</style>
<script src="data:application/javascript;base64,/*! highlight.js v9.12.0 | BSD3 License | git.io/hljslicense */
!function(e){var n="object"==typeof window&&window||"object"==typeof self&&self;"undefined"!=typeof exports?e(exports):n&&(n.hljs=e({}),"function"==typeof define&&define.amd&&define([],function(){return n.hljs}))}(function(e){function n(e){return e.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;")}function t(e){return e.nodeName.toLowerCase()}function r(e,n){var t=e&&e.exec(n);return t&&0===t.index}function a(e){return k.test(e)}function i(e){var n,t,r,i,o=e.className+" ";if(o+=e.parentNode?e.parentNode.className:"",t=B.exec(o))return w(t[1])?t[1]:"no-highlight";for(o=o.split(/\s+/),n=0,r=o.length;r>n;n++)if(i=o[n],a(i)||w(i))return i}function o(e){var n,t={},r=Array.prototype.slice.call(arguments,1);for(n in e)t[n]=e[n];return r.forEach(function(e){for(n in e)t[n]=e[n]}),t}function u(e){var n=[];return function r(e,a){for(var i=e.firstChild;i;i=i.nextSibling)3===i.nodeType?a+=i.nodeValue.length:1===i.nodeType&&(n.push({event:"start",offset:a,node:i}),a=r(i,a),t(i).match(/br|hr|img|input/)||n.push({event:"stop",offset:a,node:i}));return a}(e,0),n}function c(e,r,a){function i(){return e.length&&r.length?e[0].offset!==r[0].offset?e[0].offset<r[0].offset?e:r:"start"===r[0].event?e:r:e.length?e:r}function o(e){function r(e){return" "+e.nodeName+'="'+n(e.value).replace('"',"&quot;")+'"'}s+="<"+t(e)+E.map.call(e.attributes,r).join("")+">"}function u(e){s+="</"+t(e)+">"}function c(e){("start"===e.event?o:u)(e.node)}for(var l=0,s="",f=[];e.length||r.length;){var g=i();if(s+=n(a.substring(l,g[0].offset)),l=g[0].offset,g===e){f.reverse().forEach(u);do c(g.splice(0,1)[0]),g=i();while(g===e&&g.length&&g[0].offset===l);f.reverse().forEach(o)}else"start"===g[0].event?f.push(g[0].node):f.pop(),c(g.splice(0,1)[0])}return s+n(a.substr(l))}function l(e){return e.v&&!e.cached_variants&&(e.cached_variants=e.v.map(function(n){return o(e,{v:null},n)})),e.cached_variants||e.eW&&[o(e)]||[e]}function s(e){function n(e){return e&&e.source||e}function t(t,r){return new RegExp(n(t),"m"+(e.cI?"i":"")+(r?"g":""))}function r(a,i){if(!a.compiled){if(a.compiled=!0,a.k=a.k||a.bK,a.k){var o={},u=function(n,t){e.cI&&(t=t.toLowerCase()),t.split(" ").forEach(function(e){var t=e.split("|");o[t[0]]=[n,t[1]?Number(t[1]):1]})};"string"==typeof a.k?u("keyword",a.k):x(a.k).forEach(function(e){u(e,a.k[e])}),a.k=o}a.lR=t(a.l||/\w+/,!0),i&&(a.bK&&(a.b="\\b("+a.bK.split(" ").join("|")+")\\b"),a.b||(a.b=/\B|\b/),a.bR=t(a.b),a.e||a.eW||(a.e=/\B|\b/),a.e&&(a.eR=t(a.e)),a.tE=n(a.e)||"",a.eW&&i.tE&&(a.tE+=(a.e?"|":"")+i.tE)),a.i&&(a.iR=t(a.i)),null==a.r&&(a.r=1),a.c||(a.c=[]),a.c=Array.prototype.concat.apply([],a.c.map(function(e){return l("self"===e?a:e)})),a.c.forEach(function(e){r(e,a)}),a.starts&&r(a.starts,i);var c=a.c.map(function(e){return e.bK?"\\.?("+e.b+")\\.?":e.b}).concat([a.tE,a.i]).map(n).filter(Boolean);a.t=c.length?t(c.join("|"),!0):{exec:function(){return null}}}}r(e)}function f(e,t,a,i){function o(e,n){var t,a;for(t=0,a=n.c.length;a>t;t++)if(r(n.c[t].bR,e))return n.c[t]}function u(e,n){if(r(e.eR,n)){for(;e.endsParent&&e.parent;)e=e.parent;return e}return e.eW?u(e.parent,n):void 0}function c(e,n){return!a&&r(n.iR,e)}function l(e,n){var t=N.cI?n[0].toLowerCase():n[0];return e.k.hasOwnProperty(t)&&e.k[t]}function p(e,n,t,r){var a=r?"":I.classPrefix,i='<span class="'+a,o=t?"":C;return i+=e+'">',i+n+o}function h(){var e,t,r,a;if(!E.k)return n(k);for(a="",t=0,E.lR.lastIndex=0,r=E.lR.exec(k);r;)a+=n(k.substring(t,r.index)),e=l(E,r),e?(B+=e[1],a+=p(e[0],n(r[0]))):a+=n(r[0]),t=E.lR.lastIndex,r=E.lR.exec(k);return a+n(k.substr(t))}function d(){var e="string"==typeof E.sL;if(e&&!y[E.sL])return n(k);var t=e?f(E.sL,k,!0,x[E.sL]):g(k,E.sL.length?E.sL:void 0);return E.r>0&&(B+=t.r),e&&(x[E.sL]=t.top),p(t.language,t.value,!1,!0)}function b(){L+=null!=E.sL?d():h(),k=""}function v(e){L+=e.cN?p(e.cN,"",!0):"",E=Object.create(e,{parent:{value:E}})}function m(e,n){if(k+=e,null==n)return b(),0;var t=o(n,E);if(t)return t.skip?k+=n:(t.eB&&(k+=n),b(),t.rB||t.eB||(k=n)),v(t,n),t.rB?0:n.length;var r=u(E,n);if(r){var a=E;a.skip?k+=n:(a.rE||a.eE||(k+=n),b(),a.eE&&(k=n));do E.cN&&(L+=C),E.skip||(B+=E.r),E=E.parent;while(E!==r.parent);return r.starts&&v(r.starts,""),a.rE?0:n.length}if(c(n,E))throw new Error('Illegal lexeme "'+n+'" for mode "'+(E.cN||"<unnamed>")+'"');return k+=n,n.length||1}var N=w(e);if(!N)throw new Error('Unknown language: "'+e+'"');s(N);var R,E=i||N,x={},L="";for(R=E;R!==N;R=R.parent)R.cN&&(L=p(R.cN,"",!0)+L);var k="",B=0;try{for(var M,j,O=0;;){if(E.t.lastIndex=O,M=E.t.exec(t),!M)break;j=m(t.substring(O,M.index),M[0]),O=M.index+j}for(m(t.substr(O)),R=E;R.parent;R=R.parent)R.cN&&(L+=C);return{r:B,value:L,language:e,top:E}}catch(T){if(T.message&&-1!==T.message.indexOf("Illegal"))return{r:0,value:n(t)};throw T}}function g(e,t){t=t||I.languages||x(y);var r={r:0,value:n(e)},a=r;return t.filter(w).forEach(function(n){var t=f(n,e,!1);t.language=n,t.r>a.r&&(a=t),t.r>r.r&&(a=r,r=t)}),a.language&&(r.second_best=a),r}function p(e){return I.tabReplace||I.useBR?e.replace(M,function(e,n){return I.useBR&&"\n"===e?"<br>":I.tabReplace?n.replace(/\t/g,I.tabReplace):""}):e}function h(e,n,t){var r=n?L[n]:t,a=[e.trim()];return e.match(/\bhljs\b/)||a.push("hljs"),-1===e.indexOf(r)&&a.push(r),a.join(" ").trim()}function d(e){var n,t,r,o,l,s=i(e);a(s)||(I.useBR?(n=document.createElementNS("http://www.w3.org/1999/xhtml","div"),n.innerHTML=e.innerHTML.replace(/\n/g,"").replace(/<br[ \/]*>/g,"\n")):n=e,l=n.textContent,r=s?f(s,l,!0):g(l),t=u(n),t.length&&(o=document.createElementNS("http://www.w3.org/1999/xhtml","div"),o.innerHTML=r.value,r.value=c(t,u(o),l)),r.value=p(r.value),e.innerHTML=r.value,e.className=h(e.className,s,r.language),e.result={language:r.language,re:r.r},r.second_best&&(e.second_best={language:r.second_best.language,re:r.second_best.r}))}function b(e){I=o(I,e)}function v(){if(!v.called){v.called=!0;var e=document.querySelectorAll("pre code");E.forEach.call(e,d)}}function m(){addEventListener("DOMContentLoaded",v,!1),addEventListener("load",v,!1)}function N(n,t){var r=y[n]=t(e);r.aliases&&r.aliases.forEach(function(e){L[e]=n})}function R(){return x(y)}function w(e){return e=(e||"").toLowerCase(),y[e]||y[L[e]]}var E=[],x=Object.keys,y={},L={},k=/^(no-?highlight|plain|text)$/i,B=/\blang(?:uage)?-([\w-]+)\b/i,M=/((^(<[^>]+>|\t|)+|(?:\n)))/gm,C="</span>",I={classPrefix:"hljs-",tabReplace:null,useBR:!1,languages:void 0};return e.highlight=f,e.highlightAuto=g,e.fixMarkup=p,e.highlightBlock=d,e.configure=b,e.initHighlighting=v,e.initHighlightingOnLoad=m,e.registerLanguage=N,e.listLanguages=R,e.getLanguage=w,e.inherit=o,e.IR="[a-zA-Z]\\w*",e.UIR="[a-zA-Z_]\\w*",e.NR="\\b\\d+(\\.\\d+)?",e.CNR="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",e.BNR="\\b(0b[01]+)",e.RSR="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",e.BE={b:"\\\\[\\s\\S]",r:0},e.ASM={cN:"string",b:"'",e:"'",i:"\\n",c:[e.BE]},e.QSM={cN:"string",b:'"',e:'"',i:"\\n",c:[e.BE]},e.PWM={b:/\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/},e.C=function(n,t,r){var a=e.inherit({cN:"comment",b:n,e:t,c:[]},r||{});return a.c.push(e.PWM),a.c.push({cN:"doctag",b:"(?:TODO|FIXME|NOTE|BUG|XXX):",r:0}),a},e.CLCM=e.C("//","$"),e.CBCM=e.C("/\\*","\\*/"),e.HCM=e.C("#","$"),e.NM={cN:"number",b:e.NR,r:0},e.CNM={cN:"number",b:e.CNR,r:0},e.BNM={cN:"number",b:e.BNR,r:0},e.CSSNM={cN:"number",b:e.NR+"(%|em|ex|ch|rem|vw|vh|vmin|vmax|cm|mm|in|pt|pc|px|deg|grad|rad|turn|s|ms|Hz|kHz|dpi|dpcm|dppx)?",r:0},e.RM={cN:"regexp",b:/\//,e:/\/[gimuy]*/,i:/\n/,c:[e.BE,{b:/\[/,e:/\]/,r:0,c:[e.BE]}]},e.TM={cN:"title",b:e.IR,r:0},e.UTM={cN:"title",b:e.UIR,r:0},e.METHOD_GUARD={b:"\\.\\s*"+e.UIR,r:0},e});hljs.registerLanguage("sql",function(e){var t=e.C("--","$");return{cI:!0,i:/[<>{}*#]/,c:[{bK:"begin end start commit rollback savepoint lock alter create drop rename call delete do handler insert load replace select truncate update set show pragma grant merge describe use explain help declare prepare execute deallocate release unlock purge reset change stop analyze cache flush optimize repair kill install uninstall checksum restore check backup revoke comment",e:/;/,eW:!0,l:/[\w\.]+/,k:{keyword:"abort abs absolute acc acce accep accept access accessed accessible account acos action activate add addtime admin administer advanced advise aes_decrypt aes_encrypt after agent aggregate ali alia alias allocate allow alter always analyze ancillary and any anydata anydataset anyschema anytype apply archive archived archivelog are as asc ascii asin assembly assertion associate asynchronous at atan atn2 attr attri attrib attribu attribut attribute attributes audit authenticated authentication authid authors auto autoallocate autodblink autoextend automatic availability avg backup badfile basicfile before begin beginning benchmark between bfile bfile_base big bigfile bin binary_double binary_float binlog bit_and bit_count bit_length bit_or bit_xor bitmap blob_base block blocksize body both bound buffer_cache buffer_pool build bulk by byte byteordermark bytes cache caching call calling cancel capacity cascade cascaded case cast catalog category ceil ceiling chain change changed char_base char_length character_length characters characterset charindex charset charsetform charsetid check checksum checksum_agg child choose chr chunk class cleanup clear client clob clob_base clone close cluster_id cluster_probability cluster_set clustering coalesce coercibility col collate collation collect colu colum column column_value columns columns_updated comment commit compact compatibility compiled complete composite_limit compound compress compute concat concat_ws concurrent confirm conn connec connect connect_by_iscycle connect_by_isleaf connect_by_root connect_time connection consider consistent constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len lenght length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions substitutable substr substring subtime subtring_index subtype success sum suspend switch switchoffset switchover sync synchronous synonym sys sys_xmlagg sysasm sysaux sysdate sysdatetimeoffset sysdba sysoper system system_user sysutcdatetime table tables tablespace tan tdo template temporary terminated tertiary_weights test than then thread through tier ties time time_format time_zone timediff timefromparts timeout timestamp timestampadd timestampdiff timezone_abbr timezone_minute timezone_region to to_base64 to_date to_days to_seconds todatetimeoffset trace tracking transaction transactional translate translation treat trigger trigger_nestlevel triggers trim truncate try_cast try_convert try_parse type ub1 ub2 ub4 ucase unarchived unbounded uncompress under undo unhex unicode uniform uninstall union unique unix_timestamp unknown unlimited unlock unpivot unrecoverable unsafe unsigned until untrusted unusable unused update updated upgrade upped upper upsert url urowid usable usage use use_stored_outlines user user_data user_resources users using utc_date utc_timestamp uuid uuid_short validate validate_password_strength validation valist value values var var_samp varcharc vari varia variab variabl variable variables variance varp varraw varrawc varray verify version versions view virtual visible void wait wallet warning warnings week weekday weekofyear wellformed when whene whenev wheneve whenever where while whitespace with within without work wrapped xdb xml xmlagg xmlattributes xmlcast xmlcolattval xmlelement xmlexists xmlforest xmlindex xmlnamespaces xmlpi xmlquery xmlroot xmlschema xmlserialize xmltable xmltype xor year year_to_month years yearweek",literal:"true false null",built_in:"array bigint binary bit blob boolean char character date dec decimal float int int8 integer interval number numeric real record serial serial8 smallint text varchar varying void"},c:[{cN:"string",b:"'",e:"'",c:[e.BE,{b:"''"}]},{cN:"string",b:'"',e:'"',c:[e.BE,{b:'""'}]},{cN:"string",b:"`",e:"`",c:[e.BE]},e.CNM,e.CBCM,t]},e.CBCM,t]}});hljs.registerLanguage("r",function(e){var r="([a-zA-Z]|\\.[a-zA-Z.])[a-zA-Z0-9._]*";return{c:[e.HCM,{b:r,l:r,k:{keyword:"function if in break next repeat else for return switch while try tryCatch stop warning require library attach detach source setMethod setGeneric setGroupGeneric setClass ...",literal:"NULL NA TRUE FALSE T F Inf NaN NA_integer_|10 NA_real_|10 NA_character_|10 NA_complex_|10"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{b:"`",e:"`",r:0},{cN:"string",c:[e.BE],v:[{b:'"',e:'"'},{b:"'",e:"'"}]}]}});hljs.registerLanguage("perl",function(e){var t="getpwent getservent quotemeta msgrcv scalar kill dbmclose undef lc ma syswrite tr send umask sysopen shmwrite vec qx utime local oct semctl localtime readpipe do return format read sprintf dbmopen pop getpgrp not getpwnam rewinddir qqfileno qw endprotoent wait sethostent bless s|0 opendir continue each sleep endgrent shutdown dump chomp connect getsockname die socketpair close flock exists index shmgetsub for endpwent redo lstat msgctl setpgrp abs exit select print ref gethostbyaddr unshift fcntl syscall goto getnetbyaddr join gmtime symlink semget splice x|0 getpeername recv log setsockopt cos last reverse gethostbyname getgrnam study formline endhostent times chop length gethostent getnetent pack getprotoent getservbyname rand mkdir pos chmod y|0 substr endnetent printf next open msgsnd readdir use unlink getsockopt getpriority rindex wantarray hex system getservbyport endservent int chr untie rmdir prototype tell listen fork shmread ucfirst setprotoent else sysseek link getgrgid shmctl waitpid unpack getnetbyname reset chdir grep split require caller lcfirst until warn while values shift telldir getpwuid my getprotobynumber delete and sort uc defined srand accept package seekdir getprotobyname semop our rename seek if q|0 chroot sysread setpwent no crypt getc chown sqrt write setnetent setpriority foreach tie sin msgget map stat getlogin unless elsif truncate exec keys glob tied closedirioctl socket readlink eval xor readline binmode setservent eof ord bind alarm pipe atan2 getgrent exp time push setgrent gt lt or ne m|0 break given say state when",r={cN:"subst",b:"[$@]\\{",e:"\\}",k:t},s={b:"->{",e:"}"},n={v:[{b:/\$\d/},{b:/[\$%@](\^\w\b|#\w+(::\w+)*|{\w+}|\w+(::\w*)*)/},{b:/[\$%@][^\s\w{]/,r:0}]},i=[e.BE,r,n],o=[n,e.HCM,e.C("^\\=\\w","\\=cut",{eW:!0}),s,{cN:"string",c:i,v:[{b:"q[qwxr]?\\s*\\(",e:"\\)",r:5},{b:"q[qwxr]?\\s*\\[",e:"\\]",r:5},{b:"q[qwxr]?\\s*\\{",e:"\\}",r:5},{b:"q[qwxr]?\\s*\\|",e:"\\|",r:5},{b:"q[qwxr]?\\s*\\<",e:"\\>",r:5},{b:"qw\\s+q",e:"q",r:5},{b:"'",e:"'",c:[e.BE]},{b:'"',e:'"'},{b:"`",e:"`",c:[e.BE]},{b:"{\\w+}",c:[],r:0},{b:"-?\\w+\\s*\\=\\>",c:[],r:0}]},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\/\\/|"+e.RSR+"|\\b(split|return|print|reverse|grep)\\b)\\s*",k:"split return print reverse grep",r:0,c:[e.HCM,{cN:"regexp",b:"(s|tr|y)/(\\\\.|[^/])*/(\\\\.|[^/])*/[a-z]*",r:10},{cN:"regexp",b:"(m|qr)?/",e:"/[a-z]*",c:[e.BE],r:0}]},{cN:"function",bK:"sub",e:"(\\s*\\(.*?\\))?[;{]",eE:!0,r:5,c:[e.TM]},{b:"-\\w\\b",r:0},{b:"^__DATA__$",e:"^__END__$",sL:"mojolicious",c:[{b:"^@@.*",e:"$",cN:"comment"}]}];return r.c=o,s.c=o,{aliases:["pl","pm"],l:/[\w\.]+/,k:t,c:o}});hljs.registerLanguage("ini",function(e){var b={cN:"string",c:[e.BE],v:[{b:"'''",e:"'''",r:10},{b:'"""',e:'"""',r:10},{b:'"',e:'"'},{b:"'",e:"'"}]};return{aliases:["toml"],cI:!0,i:/\S/,c:[e.C(";","$"),e.HCM,{cN:"section",b:/^\s*\[+/,e:/\]+/},{b:/^[a-z0-9\[\]_-]+\s*=\s*/,e:"$",rB:!0,c:[{cN:"attr",b:/[a-z0-9\[\]_-]+/},{b:/=/,eW:!0,r:0,c:[{cN:"literal",b:/\bon|off|true|false|yes|no\b/},{cN:"variable",v:[{b:/\$[\w\d"][\w\d_]*/},{b:/\$\{(.*?)}/}]},b,{cN:"number",b:/([\+\-]+)?[\d]+_[\d_]+/},e.NM]}]}]}});hljs.registerLanguage("diff",function(e){return{aliases:["patch"],c:[{cN:"meta",r:10,v:[{b:/^@@ +\-\d+,\d+ +\+\d+,\d+ +@@$/},{b:/^\*\*\* +\d+,\d+ +\*\*\*\*$/},{b:/^\-\-\- +\d+,\d+ +\-\-\-\-$/}]},{cN:"comment",v:[{b:/Index: /,e:/$/},{b:/={3,}/,e:/$/},{b:/^\-{3}/,e:/$/},{b:/^\*{3} /,e:/$/},{b:/^\+{3}/,e:/$/},{b:/\*{5}/,e:/\*{5}$/}]},{cN:"addition",b:"^\\+",e:"$"},{cN:"deletion",b:"^\\-",e:"$"},{cN:"addition",b:"^\\!",e:"$"}]}});hljs.registerLanguage("go",function(e){var t={keyword:"break default func interface select case map struct chan else goto package switch const fallthrough if range type continue for import return var go defer bool byte complex64 complex128 float32 float64 int8 int16 int32 int64 string uint8 uint16 uint32 uint64 int uint uintptr rune",literal:"true false iota nil",built_in:"append cap close complex copy imag len make new panic print println real recover delete"};return{aliases:["golang"],k:t,i:"</",c:[e.CLCM,e.CBCM,{cN:"string",v:[e.QSM,{b:"'",e:"[^\\\\]'"},{b:"`",e:"`"}]},{cN:"number",v:[{b:e.CNR+"[dflsi]",r:1},e.CNM]},{b:/:=/},{cN:"function",bK:"func",e:/\s*\{/,eE:!0,c:[e.TM,{cN:"params",b:/\(/,e:/\)/,k:t,i:/["']/}]}]}});hljs.registerLanguage("bash",function(e){var t={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},s={cN:"string",b:/"/,e:/"/,c:[e.BE,t,{cN:"variable",b:/\$\(/,e:/\)/,c:[e.BE]}]},a={cN:"string",b:/'/,e:/'/};return{aliases:["sh","zsh"],l:/\b-?[a-z\._]+\b/,k:{keyword:"if then else elif fi for while in do done case esac function",literal:"true false",built_in:"break cd continue eval exec exit export getopts hash pwd readonly return shift test times trap umask unset alias bind builtin caller command declare echo enable help let local logout mapfile printf read readarray source type typeset ulimit unalias set shopt autoload bg bindkey bye cap chdir clone comparguments compcall compctl compdescribe compfiles compgroups compquote comptags comptry compvalues dirs disable disown echotc echoti emulate fc fg float functions getcap getln history integer jobs kill limit log noglob popd print pushd pushln rehash sched setcap setopt stat suspend ttyctl unfunction unhash unlimit unsetopt vared wait whence where which zcompile zformat zftp zle zmodload zparseopts zprof zpty zregexparse zsocket zstyle ztcp",_:"-ne -eq -lt -gt -f -d -e -s -l -a"},c:[{cN:"meta",b:/^#![^\n]+sh\s*$/,r:10},{cN:"function",b:/\w[\w\d_]*\s*\(\s*\)\s*\{/,rB:!0,c:[e.inherit(e.TM,{b:/\w[\w\d_]*/})],r:0},e.HCM,s,a,t]}});hljs.registerLanguage("python",function(e){var r={keyword:"and elif is global as in if from raise for except finally print import pass return exec else break not with class assert yield try while continue del or def lambda async await nonlocal|10 None True False",built_in:"Ellipsis NotImplemented"},b={cN:"meta",b:/^(>>>|\.\.\.) /},c={cN:"subst",b:/\{/,e:/\}/,k:r,i:/#/},a={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,c:[b],r:10},{b:/(u|b)?r?"""/,e:/"""/,c:[b],r:10},{b:/(fr|rf|f)'''/,e:/'''/,c:[b,c]},{b:/(fr|rf|f)"""/,e:/"""/,c:[b,c]},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},{b:/(fr|rf|f)'/,e:/'/,c:[c]},{b:/(fr|rf|f)"/,e:/"/,c:[c]},e.ASM,e.QSM]},s={cN:"number",r:0,v:[{b:e.BNR+"[lLjJ]?"},{b:"\\b(0o[0-7]+)[lLjJ]?"},{b:e.CNR+"[lLjJ]?"}]},i={cN:"params",b:/\(/,e:/\)/,c:["self",b,s,a]};return c.c=[a,s,b],{aliases:["py","gyp"],k:r,i:/(<\/|->|\?)|=>/,c:[b,s,a,e.HCM,{v:[{cN:"function",bK:"def"},{cN:"class",bK:"class"}],e:/:/,i:/[${=;\n,]/,c:[e.UTM,i,{b:/->/,eW:!0,k:"None"}]},{cN:"meta",b:/^[\t ]*@/,e:/$/},{b:/\b(print|exec)\(/}]}});hljs.registerLanguage("julia",function(e){var r={keyword:"in isa where baremodule begin break catch ccall const continue do else elseif end export false finally for function global if import importall let local macro module quote return true try using while type immutable abstract bitstype typealias ",literal:"true false ARGS C_NULL DevNull ENDIAN_BOM ENV I Inf Inf16 Inf32 Inf64 InsertionSort JULIA_HOME LOAD_PATH MergeSort NaN NaN16 NaN32 NaN64 PROGRAM_FILE QuickSort RoundDown RoundFromZero RoundNearest RoundNearestTiesAway RoundNearestTiesUp RoundToZero RoundUp STDERR STDIN STDOUT VERSION catalan e|0 eu|0 eulergamma golden im nothing pi γ π φ ",built_in:"ANY AbstractArray AbstractChannel AbstractFloat AbstractMatrix AbstractRNG AbstractSerializer AbstractSet AbstractSparseArray AbstractSparseMatrix AbstractSparseVector AbstractString AbstractUnitRange AbstractVecOrMat AbstractVector Any ArgumentError Array AssertionError Associative Base64DecodePipe Base64EncodePipe Bidiagonal BigFloat BigInt BitArray BitMatrix BitVector Bool BoundsError BufferStream CachingPool CapturedException CartesianIndex CartesianRange Cchar Cdouble Cfloat Channel Char Cint Cintmax_t Clong Clonglong ClusterManager Cmd CodeInfo Colon Complex Complex128 Complex32 Complex64 CompositeException Condition ConjArray ConjMatrix ConjVector Cptrdiff_t Cshort Csize_t Cssize_t Cstring Cuchar Cuint Cuintmax_t Culong Culonglong Cushort Cwchar_t Cwstring DataType Date DateFormat DateTime DenseArray DenseMatrix DenseVecOrMat DenseVector Diagonal Dict DimensionMismatch Dims DirectIndexString Display DivideError DomainError EOFError EachLine Enum Enumerate ErrorException Exception ExponentialBackOff Expr Factorization FileMonitor Float16 Float32 Float64 Function Future GlobalRef GotoNode HTML Hermitian IO IOBuffer IOContext IOStream IPAddr IPv4 IPv6 IndexCartesian IndexLinear IndexStyle InexactError InitError Int Int128 Int16 Int32 Int64 Int8 IntSet Integer InterruptException InvalidStateException Irrational KeyError LabelNode LinSpace LineNumberNode LoadError LowerTriangular MIME Matrix MersenneTwister Method MethodError MethodTable Module NTuple NewvarNode NullException Nullable Number ObjectIdDict OrdinalRange OutOfMemoryError OverflowError Pair ParseError PartialQuickSort PermutedDimsArray Pipe PollingFileWatcher ProcessExitedException Ptr QuoteNode RandomDevice Range RangeIndex Rational RawFD ReadOnlyMemoryError Real ReentrantLock Ref Regex RegexMatch RemoteChannel RemoteException RevString RoundingMode RowVector SSAValue SegmentationFault SerializationState Set SharedArray SharedMatrix SharedVector Signed SimpleVector Slot SlotNumber SparseMatrixCSC SparseVector StackFrame StackOverflowError StackTrace StepRange StepRangeLen StridedArray StridedMatrix StridedVecOrMat StridedVector String SubArray SubString SymTridiagonal Symbol Symmetric SystemError TCPSocket Task Text TextDisplay Timer Tridiagonal Tuple Type TypeError TypeMapEntry TypeMapLevel TypeName TypeVar TypedSlot UDPSocket UInt UInt128 UInt16 UInt32 UInt64 UInt8 UndefRefError UndefVarError UnicodeError UniformScaling Union UnionAll UnitRange Unsigned UpperTriangular Val Vararg VecElement VecOrMat Vector VersionNumber Void WeakKeyDict WeakRef WorkerConfig WorkerPool "},t="[A-Za-z_\\u00A1-\\uFFFF][A-Za-z_0-9\\u00A1-\\uFFFF]*",a={l:t,k:r,i:/<\//},n={cN:"number",b:/(\b0x[\d_]*(\.[\d_]*)?|0x\.\d[\d_]*)p[-+]?\d+|\b0[box][a-fA-F0-9][a-fA-F0-9_]*|(\b\d[\d_]*(\.[\d_]*)?|\.\d[\d_]*)([eEfF][-+]?\d+)?/,r:0},o={cN:"string",b:/'(.|\\[xXuU][a-zA-Z0-9]+)'/},i={cN:"subst",b:/\$\(/,e:/\)/,k:r},l={cN:"variable",b:"\\$"+t},c={cN:"string",c:[e.BE,i,l],v:[{b:/\w*"""/,e:/"""\w*/,r:10},{b:/\w*"/,e:/"\w*/}]},s={cN:"string",c:[e.BE,i,l],b:"`",e:"`"},d={cN:"meta",b:"@"+t},u={cN:"comment",v:[{b:"#=",e:"=#",r:10},{b:"#",e:"$"}]};return a.c=[n,o,c,s,d,u,e.HCM,{cN:"keyword",b:"\\b(((abstract|primitive)\\s+)type|(mutable\\s+)?struct)\\b"},{b:/<:/}],i.c=a.c,a});hljs.registerLanguage("coffeescript",function(e){var c={keyword:"in if for while finally new do return else break catch instanceof throw try this switch continue typeof delete debugger super yield import export from as default await then unless until loop of by when and or is isnt not",literal:"true false null undefined yes no on off",built_in:"npm require console print module global window document"},n="[A-Za-z$_][0-9A-Za-z$_]*",r={cN:"subst",b:/#\{/,e:/}/,k:c},i=[e.BNM,e.inherit(e.CNM,{starts:{e:"(\\s*/)?",r:0}}),{cN:"string",v:[{b:/'''/,e:/'''/,c:[e.BE]},{b:/'/,e:/'/,c:[e.BE]},{b:/"""/,e:/"""/,c:[e.BE,r]},{b:/"/,e:/"/,c:[e.BE,r]}]},{cN:"regexp",v:[{b:"///",e:"///",c:[r,e.HCM]},{b:"//[gim]*",r:0},{b:/\/(?![ *])(\\\/|.)*?\/[gim]*(?=\W|$)/}]},{b:"@"+n},{sL:"javascript",eB:!0,eE:!0,v:[{b:"```",e:"```"},{b:"`",e:"`"}]}];r.c=i;var s=e.inherit(e.TM,{b:n}),t="(\\(.*\\))?\\s*\\B[-=]>",o={cN:"params",b:"\\([^\\(]",rB:!0,c:[{b:/\(/,e:/\)/,k:c,c:["self"].concat(i)}]};return{aliases:["coffee","cson","iced"],k:c,i:/\/\*/,c:i.concat([e.C("###","###"),e.HCM,{cN:"function",b:"^\\s*"+n+"\\s*=\\s*"+t,e:"[-=]>",rB:!0,c:[s,o]},{b:/[:\(,=]\s*/,r:0,c:[{cN:"function",b:t,e:"[-=]>",rB:!0,c:[o]}]},{cN:"class",bK:"class",e:"$",i:/[:="\[\]]/,c:[{bK:"extends",eW:!0,i:/[:="\[\]]/,c:[s]},s]},{b:n+":",e:":",rB:!0,rE:!0,r:0}])}});hljs.registerLanguage("cpp",function(t){var e={cN:"keyword",b:"\\b[a-z\\d_]*_t\\b"},r={cN:"string",v:[{b:'(u8?|U)?L?"',e:'"',i:"\\n",c:[t.BE]},{b:'(u8?|U)?R"',e:'"',c:[t.BE]},{b:"'\\\\?.",e:"'",i:"."}]},s={cN:"number",v:[{b:"\\b(0b[01']+)"},{b:"(-?)\\b([\\d']+(\\.[\\d']*)?|\\.[\\d']+)(u|U|l|L|ul|UL|f|F|b|B)"},{b:"(-?)(\\b0[xX][a-fA-F0-9']+|(\\b[\\d']+(\\.[\\d']*)?|\\.[\\d']+)([eE][-+]?[\\d']+)?)"}],r:0},i={cN:"meta",b:/#\s*[a-z]+\b/,e:/$/,k:{"meta-keyword":"if else elif endif define undef warning error line pragma ifdef ifndef include"},c:[{b:/\\\n/,r:0},t.inherit(r,{cN:"meta-string"}),{cN:"meta-string",b:/<[^\n>]*>/,e:/$/,i:"\\n"},t.CLCM,t.CBCM]},a=t.IR+"\\s*\\(",c={keyword:"int float while private char catch import module export virtual operator sizeof dynamic_cast|10 typedef const_cast|10 const for static_cast|10 union namespace unsigned long volatile static protected bool template mutable if public friend do goto auto void enum else break extern using asm case typeid short reinterpret_cast|10 default double register explicit signed typename try this switch continue inline delete alignof constexpr decltype noexcept static_assert thread_local restrict _Bool complex _Complex _Imaginary atomic_bool atomic_char atomic_schar atomic_uchar atomic_short atomic_ushort atomic_int atomic_uint atomic_long atomic_ulong atomic_llong atomic_ullong new throw return and or not",built_in:"std string cin cout cerr clog stdin stdout stderr stringstream istringstream ostringstream auto_ptr deque list queue stack vector map set bitset multiset multimap unordered_set unordered_map unordered_multiset unordered_multimap array shared_ptr abort abs acos asin atan2 atan calloc ceil cosh cos exit exp fabs floor fmod fprintf fputs free frexp fscanf isalnum isalpha iscntrl isdigit isgraph islower isprint ispunct isspace isupper isxdigit tolower toupper labs ldexp log10 log malloc realloc memchr memcmp memcpy memset modf pow printf putchar puts scanf sinh sin snprintf sprintf sqrt sscanf strcat strchr strcmp strcpy strcspn strlen strncat strncmp strncpy strpbrk strrchr strspn strstr tanh tan vfprintf vprintf vsprintf endl initializer_list unique_ptr",literal:"true false nullptr NULL"},n=[e,t.CLCM,t.CBCM,s,r];return{aliases:["c","cc","h","c++","h++","hpp"],k:c,i:"</",c:n.concat([i,{b:"\\b(deque|list|queue|stack|vector|map|set|bitset|multiset|multimap|unordered_map|unordered_set|unordered_multiset|unordered_multimap|array)\\s*<",e:">",k:c,c:["self",e]},{b:t.IR+"::",k:c},{v:[{b:/=/,e:/;/},{b:/\(/,e:/\)/},{bK:"new throw return else",e:/;/}],k:c,c:n.concat([{b:/\(/,e:/\)/,k:c,c:n.concat(["self"]),r:0}]),r:0},{cN:"function",b:"("+t.IR+"[\\*&\\s]+)+"+a,rB:!0,e:/[{;=]/,eE:!0,k:c,i:/[^\w\s\*&]/,c:[{b:a,rB:!0,c:[t.TM],r:0},{cN:"params",b:/\(/,e:/\)/,k:c,r:0,c:[t.CLCM,t.CBCM,r,s,e]},t.CLCM,t.CBCM,i]},{cN:"class",bK:"class struct",e:/[{;:]/,c:[{b:/</,e:/>/,c:["self"]},t.TM]}]),exports:{preprocessor:i,strings:r,k:c}}});hljs.registerLanguage("ruby",function(e){var b="[a-zA-Z_]\\w*[!?=]?|[-+~]\\@|<<|>>|=~|===?|<=>|[<>]=?|\\*\\*|[-/+%^&*~`|]|\\[\\]=?",r={keyword:"and then defined module in return redo if BEGIN retry end for self when next until do begin unless END rescue else break undef not super class case require yield alias while ensure elsif or include attr_reader attr_writer attr_accessor",literal:"true false nil"},c={cN:"doctag",b:"@[A-Za-z]+"},a={b:"#<",e:">"},s=[e.C("#","$",{c:[c]}),e.C("^\\=begin","^\\=end",{c:[c],r:10}),e.C("^__END__","\\n$")],n={cN:"subst",b:"#\\{",e:"}",k:r},t={cN:"string",c:[e.BE,n],v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/`/,e:/`/},{b:"%[qQwWx]?\\(",e:"\\)"},{b:"%[qQwWx]?\\[",e:"\\]"},{b:"%[qQwWx]?{",e:"}"},{b:"%[qQwWx]?<",e:">"},{b:"%[qQwWx]?/",e:"/"},{b:"%[qQwWx]?%",e:"%"},{b:"%[qQwWx]?-",e:"-"},{b:"%[qQwWx]?\\|",e:"\\|"},{b:/\B\?(\\\d{1,3}|\\x[A-Fa-f0-9]{1,2}|\\u[A-Fa-f0-9]{4}|\\?\S)\b/},{b:/<<(-?)\w+$/,e:/^\s*\w+$/}]},i={cN:"params",b:"\\(",e:"\\)",endsParent:!0,k:r},d=[t,a,{cN:"class",bK:"class module",e:"$|;",i:/=/,c:[e.inherit(e.TM,{b:"[A-Za-z_]\\w*(::\\w+)*(\\?|\\!)?"}),{b:"<\\s*",c:[{b:"("+e.IR+"::)?"+e.IR}]}].concat(s)},{cN:"function",bK:"def",e:"$|;",c:[e.inherit(e.TM,{b:b}),i].concat(s)},{b:e.IR+"::"},{cN:"symbol",b:e.UIR+"(\\!|\\?)?:",r:0},{cN:"symbol",b:":(?!\\s)",c:[t,{b:b}],r:0},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\$\\W)|((\\$|\\@\\@?)(\\w+))"},{cN:"params",b:/\|/,e:/\|/,k:r},{b:"("+e.RSR+"|unless)\\s*",k:"unless",c:[a,{cN:"regexp",c:[e.BE,n],i:/\n/,v:[{b:"/",e:"/[a-z]*"},{b:"%r{",e:"}[a-z]*"},{b:"%r\\(",e:"\\)[a-z]*"},{b:"%r!",e:"![a-z]*"},{b:"%r\\[",e:"\\][a-z]*"}]}].concat(s),r:0}].concat(s);n.c=d,i.c=d;var l="[>?]>",o="[\\w#]+\\(\\w+\\):\\d+:\\d+>",u="(\\w+-)?\\d+\\.\\d+\\.\\d(p\\d+)?[^>]+>",w=[{b:/^\s*=>/,starts:{e:"$",c:d}},{cN:"meta",b:"^("+l+"|"+o+"|"+u+")",starts:{e:"$",c:d}}];return{aliases:["rb","gemspec","podspec","thor","irb"],k:r,i:/\/\*/,c:s.concat(w).concat(d)}});hljs.registerLanguage("yaml",function(e){var b="true false yes no null",a="^[ \\-]*",r="[a-zA-Z_][\\w\\-]*",t={cN:"attr",v:[{b:a+r+":"},{b:a+'"'+r+'":'},{b:a+"'"+r+"':"}]},c={cN:"template-variable",v:[{b:"{{",e:"}}"},{b:"%{",e:"}"}]},l={cN:"string",r:0,v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/\S+/}],c:[e.BE,c]};return{cI:!0,aliases:["yml","YAML","yaml"],c:[t,{cN:"meta",b:"^---s*$",r:10},{cN:"string",b:"[\\|>] *$",rE:!0,c:l.c,e:t.v[0].b},{b:"<%[%=-]?",e:"[%-]?%>",sL:"ruby",eB:!0,eE:!0,r:0},{cN:"type",b:"!!"+e.UIR},{cN:"meta",b:"&"+e.UIR+"$"},{cN:"meta",b:"\\*"+e.UIR+"$"},{cN:"bullet",b:"^ *-",r:0},e.HCM,{bK:b,k:{literal:b}},e.CNM,l]}});hljs.registerLanguage("css",function(e){var c="[a-zA-Z-][a-zA-Z0-9_-]*",t={b:/[A-Z\_\.\-]+\s*:/,rB:!0,e:";",eW:!0,c:[{cN:"attribute",b:/\S/,e:":",eE:!0,starts:{eW:!0,eE:!0,c:[{b:/[\w-]+\(/,rB:!0,c:[{cN:"built_in",b:/[\w-]+/},{b:/\(/,e:/\)/,c:[e.ASM,e.QSM]}]},e.CSSNM,e.QSM,e.ASM,e.CBCM,{cN:"number",b:"#[0-9A-Fa-f]+"},{cN:"meta",b:"!important"}]}}]};return{cI:!0,i:/[=\/|'\$]/,c:[e.CBCM,{cN:"selector-id",b:/#[A-Za-z0-9_-]+/},{cN:"selector-class",b:/\.[A-Za-z0-9_-]+/},{cN:"selector-attr",b:/\[/,e:/\]/,i:"$"},{cN:"selector-pseudo",b:/:(:)?[a-zA-Z0-9\_\-\+\(\)"'.]+/},{b:"@(font-face|page)",l:"[a-z-]+",k:"font-face page"},{b:"@",e:"[{;]",i:/:/,c:[{cN:"keyword",b:/\w+/},{b:/\s/,eW:!0,eE:!0,r:0,c:[e.ASM,e.QSM,e.CSSNM]}]},{cN:"selector-tag",b:c,r:0},{b:"{",e:"}",i:/\S/,c:[e.CBCM,t]}]}});hljs.registerLanguage("fortran",function(e){var t={cN:"params",b:"\\(",e:"\\)"},n={literal:".False. .True.",keyword:"kind do while private call intrinsic where elsewhere type endtype endmodule endselect endinterface end enddo endif if forall endforall only contains default return stop then public subroutine|10 function program .and. .or. .not. .le. .eq. .ge. .gt. .lt. goto save else use module select case access blank direct exist file fmt form formatted iostat name named nextrec number opened rec recl sequential status unformatted unit continue format pause cycle exit c_null_char c_alert c_backspace c_form_feed flush wait decimal round iomsg synchronous nopass non_overridable pass protected volatile abstract extends import non_intrinsic value deferred generic final enumerator class associate bind enum c_int c_short c_long c_long_long c_signed_char c_size_t c_int8_t c_int16_t c_int32_t c_int64_t c_int_least8_t c_int_least16_t c_int_least32_t c_int_least64_t c_int_fast8_t c_int_fast16_t c_int_fast32_t c_int_fast64_t c_intmax_t C_intptr_t c_float c_double c_long_double c_float_complex c_double_complex c_long_double_complex c_bool c_char c_null_ptr c_null_funptr c_new_line c_carriage_return c_horizontal_tab c_vertical_tab iso_c_binding c_loc c_funloc c_associated  c_f_pointer c_ptr c_funptr iso_fortran_env character_storage_size error_unit file_storage_size input_unit iostat_end iostat_eor numeric_storage_size output_unit c_f_procpointer ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode newunit contiguous recursive pad position action delim readwrite eor advance nml interface procedure namelist include sequence elemental pure integer real character complex logical dimension allocatable|10 parameter external implicit|10 none double precision assign intent optional pointer target in out common equivalence data",built_in:"alog alog10 amax0 amax1 amin0 amin1 amod cabs ccos cexp clog csin csqrt dabs dacos dasin datan datan2 dcos dcosh ddim dexp dint dlog dlog10 dmax1 dmin1 dmod dnint dsign dsin dsinh dsqrt dtan dtanh float iabs idim idint idnint ifix isign max0 max1 min0 min1 sngl algama cdabs cdcos cdexp cdlog cdsin cdsqrt cqabs cqcos cqexp cqlog cqsin cqsqrt dcmplx dconjg derf derfc dfloat dgamma dimag dlgama iqint qabs qacos qasin qatan qatan2 qcmplx qconjg qcos qcosh qdim qerf qerfc qexp qgamma qimag qlgama qlog qlog10 qmax1 qmin1 qmod qnint qsign qsin qsinh qsqrt qtan qtanh abs acos aimag aint anint asin atan atan2 char cmplx conjg cos cosh exp ichar index int log log10 max min nint sign sin sinh sqrt tan tanh print write dim lge lgt lle llt mod nullify allocate deallocate adjustl adjustr all allocated any associated bit_size btest ceiling count cshift date_and_time digits dot_product eoshift epsilon exponent floor fraction huge iand ibclr ibits ibset ieor ior ishft ishftc lbound len_trim matmul maxexponent maxloc maxval merge minexponent minloc minval modulo mvbits nearest pack present product radix random_number random_seed range repeat reshape rrspacing scale scan selected_int_kind selected_real_kind set_exponent shape size spacing spread sum system_clock tiny transpose trim ubound unpack verify achar iachar transfer dble entry dprod cpu_time command_argument_count get_command get_command_argument get_environment_variable is_iostat_end ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode is_iostat_eor move_alloc new_line selected_char_kind same_type_as extends_type_ofacosh asinh atanh bessel_j0 bessel_j1 bessel_jn bessel_y0 bessel_y1 bessel_yn erf erfc erfc_scaled gamma log_gamma hypot norm2 atomic_define atomic_ref execute_command_line leadz trailz storage_size merge_bits bge bgt ble blt dshiftl dshiftr findloc iall iany iparity image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image"};return{cI:!0,aliases:["f90","f95"],k:n,i:/\/\*/,c:[e.inherit(e.ASM,{cN:"string",r:0}),e.inherit(e.QSM,{cN:"string",r:0}),{cN:"function",bK:"subroutine function program",i:"[${=\\n]",c:[e.UTM,t]},e.C("!","$",{r:0}),{cN:"number",b:"(?=\\b|\\+|\\-|\\.)(?=\\.\\d|\\d)(?:\\d+)?(?:\\.?\\d*)(?:[de][+-]?\\d+)?\\b\\.?",r:0}]}});hljs.registerLanguage("awk",function(e){var r={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},b="BEGIN END if else while do for in break continue delete next nextfile function func exit|10",n={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,r:10},{b:/(u|b)?r?"""/,e:/"""/,r:10},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},e.ASM,e.QSM]};return{k:{keyword:b},c:[r,n,e.RM,e.HCM,e.NM]}});hljs.registerLanguage("makefile",function(e){var i={cN:"variable",v:[{b:"\\$\\("+e.UIR+"\\)",c:[e.BE]},{b:/\$[@%<?\^\+\*]/}]},r={cN:"string",b:/"/,e:/"/,c:[e.BE,i]},a={cN:"variable",b:/\$\([\w-]+\s/,e:/\)/,k:{built_in:"subst patsubst strip findstring filter filter-out sort word wordlist firstword lastword dir notdir suffix basename addsuffix addprefix join wildcard realpath abspath error warning shell origin flavor foreach if or and call eval file value"},c:[i]},n={b:"^"+e.UIR+"\\s*[:+?]?=",i:"\\n",rB:!0,c:[{b:"^"+e.UIR,e:"[:+?]?=",eE:!0}]},t={cN:"meta",b:/^\.PHONY:/,e:/$/,k:{"meta-keyword":".PHONY"},l:/[\.\w]+/},l={cN:"section",b:/^[^\s]+:/,e:/$/,c:[i]};return{aliases:["mk","mak"],k:"define endef undefine ifdef ifndef ifeq ifneq else endif include -include sinclude override export unexport private vpath",l:/[\w-]+/,c:[e.HCM,i,r,a,n,t,l]}});hljs.registerLanguage("java",function(e){var a="[À-ʸa-zA-Z_$][À-ʸa-zA-Z_$0-9]*",t=a+"(<"+a+"(\\s*,\\s*"+a+")*>)?",r="false synchronized int abstract float private char boolean static null if const for true while long strictfp finally protected import native final void enum else break transient catch instanceof byte super volatile case assert short package default double public try this switch continue throws protected public private module requires exports do",s="\\b(0[bB]([01]+[01_]+[01]+|[01]+)|0[xX]([a-fA-F0-9]+[a-fA-F0-9_]+[a-fA-F0-9]+|[a-fA-F0-9]+)|(([\\d]+[\\d_]+[\\d]+|[\\d]+)(\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))?|\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))([eE][-+]?\\d+)?)[lLfF]?",c={cN:"number",b:s,r:0};return{aliases:["jsp"],k:r,i:/<\/|#/,c:[e.C("/\\*\\*","\\*/",{r:0,c:[{b:/\w+@/,r:0},{cN:"doctag",b:"@[A-Za-z]+"}]}),e.CLCM,e.CBCM,e.ASM,e.QSM,{cN:"class",bK:"class interface",e:/[{;=]/,eE:!0,k:"class interface",i:/[:"\[\]]/,c:[{bK:"extends implements"},e.UTM]},{bK:"new throw return else",r:0},{cN:"function",b:"("+t+"\\s+)+"+e.UIR+"\\s*\\(",rB:!0,e:/[{;=]/,eE:!0,k:r,c:[{b:e.UIR+"\\s*\\(",rB:!0,r:0,c:[e.UTM]},{cN:"params",b:/\(/,e:/\)/,k:r,r:0,c:[e.ASM,e.QSM,e.CNM,e.CBCM]},e.CLCM,e.CBCM]},c,{cN:"meta",b:"@[A-Za-z]+"}]}});hljs.registerLanguage("stan",function(e){return{c:[e.HCM,e.CLCM,e.CBCM,{b:e.UIR,l:e.UIR,k:{name:"for in while repeat until if then else",symbol:"bernoulli bernoulli_logit binomial binomial_logit beta_binomial hypergeometric categorical categorical_logit ordered_logistic neg_binomial neg_binomial_2 neg_binomial_2_log poisson poisson_log multinomial normal exp_mod_normal skew_normal student_t cauchy double_exponential logistic gumbel lognormal chi_square inv_chi_square scaled_inv_chi_square exponential inv_gamma weibull frechet rayleigh wiener pareto pareto_type_2 von_mises uniform multi_normal multi_normal_prec multi_normal_cholesky multi_gp multi_gp_cholesky multi_student_t gaussian_dlm_obs dirichlet lkj_corr lkj_corr_cholesky wishart inv_wishart","selector-tag":"int real vector simplex unit_vector ordered positive_ordered row_vector matrix cholesky_factor_corr cholesky_factor_cov corr_matrix cov_matrix",title:"functions model data parameters quantities transformed generated",literal:"true false"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0}]}});hljs.registerLanguage("javascript",function(e){var r="[A-Za-z$_][0-9A-Za-z$_]*",t={keyword:"in of if for while finally var new function do return void else break catch instanceof with throw case default try this switch continue typeof delete let yield const export super debugger as async await static import from as",literal:"true false null undefined NaN Infinity",built_in:"eval isFinite isNaN parseFloat parseInt decodeURI decodeURIComponent encodeURI encodeURIComponent escape unescape Object Function Boolean Error EvalError InternalError RangeError ReferenceError StopIteration SyntaxError TypeError URIError Number Math Date String RegExp Array Float32Array Float64Array Int16Array Int32Array Int8Array Uint16Array Uint32Array Uint8Array Uint8ClampedArray ArrayBuffer DataView JSON Intl arguments require module console window document Symbol Set Map WeakSet WeakMap Proxy Reflect Promise"},a={cN:"number",v:[{b:"\\b(0[bB][01]+)"},{b:"\\b(0[oO][0-7]+)"},{b:e.CNR}],r:0},n={cN:"subst",b:"\\$\\{",e:"\\}",k:t,c:[]},c={cN:"string",b:"`",e:"`",c:[e.BE,n]};n.c=[e.ASM,e.QSM,c,a,e.RM];var s=n.c.concat([e.CBCM,e.CLCM]);return{aliases:["js","jsx"],k:t,c:[{cN:"meta",r:10,b:/^\s*['"]use (strict|asm)['"]/},{cN:"meta",b:/^#!/,e:/$/},e.ASM,e.QSM,c,e.CLCM,e.CBCM,a,{b:/[{,]\s*/,r:0,c:[{b:r+"\\s*:",rB:!0,r:0,c:[{cN:"attr",b:r,r:0}]}]},{b:"("+e.RSR+"|\\b(case|return|throw)\\b)\\s*",k:"return throw case",c:[e.CLCM,e.CBCM,e.RM,{cN:"function",b:"(\\(.*?\\)|"+r+")\\s*=>",rB:!0,e:"\\s*=>",c:[{cN:"params",v:[{b:r},{b:/\(\s*\)/},{b:/\(/,e:/\)/,eB:!0,eE:!0,k:t,c:s}]}]},{b:/</,e:/(\/\w+|\w+\/)>/,sL:"xml",c:[{b:/<\w+\s*\/>/,skip:!0},{b:/<\w+/,e:/(\/\w+|\w+\/)>/,skip:!0,c:[{b:/<\w+\s*\/>/,skip:!0},"self"]}]}],r:0},{cN:"function",bK:"function",e:/\{/,eE:!0,c:[e.inherit(e.TM,{b:r}),{cN:"params",b:/\(/,e:/\)/,eB:!0,eE:!0,c:s}],i:/\[|%/},{b:/\$[(.]/},e.METHOD_GUARD,{cN:"class",bK:"class",e:/[{;=]/,eE:!0,i:/[:"\[\]]/,c:[{bK:"extends"},e.UTM]},{bK:"constructor",e:/\{/,eE:!0}],i:/#(?!!)/}});hljs.registerLanguage("tex",function(c){var e={cN:"tag",b:/\\/,r:0,c:[{cN:"name",v:[{b:/[a-zA-Zа-яА-я]+[*]?/},{b:/[^a-zA-Zа-яА-я0-9]/}],starts:{eW:!0,r:0,c:[{cN:"string",v:[{b:/\[/,e:/\]/},{b:/\{/,e:/\}/}]},{b:/\s*=\s*/,eW:!0,r:0,c:[{cN:"number",b:/-?\d*\.?\d+(pt|pc|mm|cm|in|dd|cc|ex|em)?/}]}]}}]};return{c:[e,{cN:"formula",c:[e],r:0,v:[{b:/\$\$/,e:/\$\$/},{b:/\$/,e:/\$/}]},c.C("%","$",{r:0})]}});hljs.registerLanguage("xml",function(s){var e="[A-Za-z0-9\\._:-]+",t={eW:!0,i:/</,r:0,c:[{cN:"attr",b:e,r:0},{b:/=\s*/,r:0,c:[{cN:"string",endsParent:!0,v:[{b:/"/,e:/"/},{b:/'/,e:/'/},{b:/[^\s"'=<>`]+/}]}]}]};return{aliases:["html","xhtml","rss","atom","xjb","xsd","xsl","plist"],cI:!0,c:[{cN:"meta",b:"<!DOCTYPE",e:">",r:10,c:[{b:"\\[",e:"\\]"}]},s.C("<!--","-->",{r:10}),{b:"<\\!\\[CDATA\\[",e:"\\]\\]>",r:10},{b:/<\?(php)?/,e:/\?>/,sL:"php",c:[{b:"/\\*",e:"\\*/",skip:!0}]},{cN:"tag",b:"<style(?=\\s|>|$)",e:">",k:{name:"style"},c:[t],starts:{e:"</style>",rE:!0,sL:["css","xml"]}},{cN:"tag",b:"<script(?=\\s|>|$)",e:">",k:{name:"script"},c:[t],starts:{e:"</script>",rE:!0,sL:["actionscript","javascript","handlebars","xml"]}},{cN:"meta",v:[{b:/<\?xml/,e:/\?>/,r:10},{b:/<\?\w+/,e:/\?>/}]},{cN:"tag",b:"</?",e:"/?>",c:[{cN:"name",b:/[^\/><\s]+/,r:0},t]}]}});hljs.registerLanguage("markdown",function(e){return{aliases:["md","mkdown","mkd"],c:[{cN:"section",v:[{b:"^#{1,6}",e:"$"},{b:"^.+?\\n[=-]{2,}$"}]},{b:"<",e:">",sL:"xml",r:0},{cN:"bullet",b:"^([*+-]|(\\d+\\.))\\s+"},{cN:"strong",b:"[*_]{2}.+?[*_]{2}"},{cN:"emphasis",v:[{b:"\\*.+?\\*"},{b:"_.+?_",r:0}]},{cN:"quote",b:"^>\\s+",e:"$"},{cN:"code",v:[{b:"^```w*s*$",e:"^```s*$"},{b:"`.+?`"},{b:"^( {4}|	)",e:"$",r:0}]},{b:"^[-\\*]{3,}",e:"$"},{b:"\\[.+?\\][\\(\\[].*?[\\)\\]]",rB:!0,c:[{cN:"string",b:"\\[",e:"\\]",eB:!0,rE:!0,r:0},{cN:"link",b:"\\]\\(",e:"\\)",eB:!0,eE:!0},{cN:"symbol",b:"\\]\\[",e:"\\]",eB:!0,eE:!0}],r:10},{b:/^\[[^\n]+\]:/,rB:!0,c:[{cN:"symbol",b:/\[/,e:/\]/,eB:!0,eE:!0},{cN:"link",b:/:\s*/,e:/$/,eB:!0}]}]}});hljs.registerLanguage("json",function(e){var i={literal:"true false null"},n=[e.QSM,e.CNM],r={e:",",eW:!0,eE:!0,c:n,k:i},t={b:"{",e:"}",c:[{cN:"attr",b:/"/,e:/"/,c:[e.BE],i:"\\n"},e.inherit(r,{b:/:/})],i:"\\S"},c={b:"\\[",e:"\\]",c:[e.inherit(r)],i:"\\S"};return n.splice(n.length,0,t,c),{c:n,k:i,i:"\\S"}});"></script>

<style type="text/css">
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
</style>

<style type="text/css">code{white-space: pre;}</style>
<script type="text/javascript">
if (window.hljs) {
  hljs.configure({languages: []});
  hljs.initHighlightingOnLoad();
  if (document.readyState && document.readyState === "complete") {
    window.setTimeout(function() { hljs.initHighlighting(); }, 0);
  }
}
</script>









<style type="text/css">
.main-container {
max-width: 940px;
margin-left: auto;
margin-right: auto;
}
img {
max-width:100%;
}
.tabbed-pane {
padding-top: 12px;
}
.html-widget {
margin-bottom: 20px;
}
button.code-folding-btn:focus {
outline: none;
}
summary {
display: list-item;
}
details > summary > p:only-child {
display: inline;
}
pre code {
padding: 0;
}
</style>



<!-- tabsets -->

<style type="text/css">
.tabset-dropdown > .nav-tabs {
display: inline-table;
max-height: 500px;
min-height: 44px;
overflow-y: auto;
border: 1px solid #ddd;
border-radius: 4px;
}
.tabset-dropdown > .nav-tabs > li.active:before, .tabset-dropdown > .nav-tabs.nav-tabs-open:before {
content: "\e259";
font-family: 'Glyphicons Halflings';
display: inline-block;
padding: 10px;
border-right: 1px solid #ddd;
}
.tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
content: "\e258";
font-family: 'Glyphicons Halflings';
border: none;
}
.tabset-dropdown > .nav-tabs > li.active {
display: block;
}
.tabset-dropdown > .nav-tabs > li > a,
.tabset-dropdown > .nav-tabs > li > a:focus,
.tabset-dropdown > .nav-tabs > li > a:hover {
border: none;
display: inline-block;
border-radius: 4px;
background-color: transparent;
}
.tabset-dropdown > .nav-tabs.nav-tabs-open > li {
display: block;
float: none;
}
.tabset-dropdown > .nav-tabs > li {
display: none;
}
</style>

<!-- code folding -->




</head>

<body>


<div class="container-fluid main-container">




<div id="header">



<h1 class="title toc-ignore">Rieger PSRM replication log</h1>
<h4 class="date">2025-11-24</h4>

</div>


<pre class="r"><code># Replication of analysis for
# Monitoring Coalition Partners in the EU: Strategic Committee Appointments in the European Parliament
# Pit Rieger --- November 2025
library(here) # v1.0.1</code></pre>
<pre><code>## here() starts at /Users/pitrieger/Desktop/Replication Files - R</code></pre>
<pre class="r"><code>library(tidyverse) # v2.0.0</code></pre>
<pre><code>## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.2
## ✔ ggplot2   3.5.2     ✔ tibble    3.3.0
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.1.0</code></pre>
<pre><code>## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors</code></pre>
<pre class="r"><code>library(modelsummary) #2.2.0</code></pre>
<pre><code>## `modelsummary` 2.0.0 now uses `tinytable` as its default table-drawing
##   backend. Learn more at: https://vincentarelbundock.github.io/tinytable/
## 
## Revert to `kableExtra` for one session:
## 
##   options(modelsummary_factory_default = &#39;kableExtra&#39;)
##   options(modelsummary_factory_latex = &#39;kableExtra&#39;)
##   options(modelsummary_factory_html = &#39;kableExtra&#39;)
## 
## Silence this message forever:
## 
##   config_modelsummary(startup_message = FALSE)</code></pre>
<pre class="r"><code>library(marginaleffects) # v0.22.0
library(fixest) # v0.13.2
library(latex2exp) # v0.9.6
library(ggdist) # v3.3.2
library(distributional) # v0.5.0
library(stargazer) # v5.2.3</code></pre>
<pre><code>## 
## Please cite as: 
## 
##  Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables.
##  R package version 5.2.3. https://CRAN.R-project.org/package=stargazer</code></pre>
<pre class="r"><code>library(interflex) # v1.2.6</code></pre>
<pre><code>## ## Syntax has changed since v.1.2.1.
## 
## ## See http://bit.ly/interflex for more info.
## ## Comments and suggestions -&gt; zyliu2020@uchicago.edu.</code></pre>
<pre class="r"><code>library(dotwhisker) # v0.8.2
library(survival) # v3.6-4
library(tinytable) # v0.4.0
sessionInfo()</code></pre>
<pre><code>## R version 4.4.1 (2024-06-14)
## Platform: aarch64-apple-darwin20
## Running under: macOS Sonoma 14.4
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: Europe/Zurich
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] tinytable_0.4.0        survival_3.6-4         dotwhisker_0.8.2      
##  [4] interflex_1.2.6        stargazer_5.2.3        distributional_0.5.0  
##  [7] ggdist_3.3.2           latex2exp_0.9.6        fixest_0.13.2         
## [10] marginaleffects_0.22.0 modelsummary_2.2.0     lubridate_1.9.4       
## [13] forcats_1.0.0          stringr_1.5.2          dplyr_1.1.4           
## [16] purrr_1.1.0            readr_2.1.5            tidyr_1.3.1           
## [19] tibble_3.3.0           ggplot2_3.5.2          tidyverse_2.0.0       
## [22] here_1.0.1            
## 
## loaded via a namespace (and not attached):
##  [1] pROC_1.19.0.1        gridExtra_2.3        sandwich_3.1-1      
##  [4] rlang_1.1.6          magrittr_2.0.4       dreamerr_1.4.0      
##  [7] compiler_4.4.1       mgcv_1.9-1           vctrs_0.6.5         
## [10] pkgconfig_2.0.3      fastmap_1.2.0        ggstance_0.3.7      
## [13] rmarkdown_2.28       tzdb_0.5.0           xfun_0.52           
## [16] cachem_1.1.0         jsonlite_2.0.0       stringmagic_1.2.0   
## [19] parallel_4.4.1       R6_2.6.1             bslib_0.8.0         
## [22] tables_0.9.31        stringi_1.8.7        RColorBrewer_1.1-3  
## [25] parallelly_1.45.1    car_3.1-2            lmtest_0.9-40       
## [28] jquerylib_0.1.4      numDeriv_2016.8-1.1  estimability_1.5.1  
## [31] Rcpp_1.1.0           iterators_1.0.14     knitr_1.48          
## [34] zoo_1.8-14           parameters_0.22.2    Lmoments_1.3-1      
## [37] Matrix_1.7-0         splines_4.4.1        timechange_0.3.0    
## [40] tidyselect_1.2.1     rstudioapi_0.16.0    abind_1.4-8         
## [43] yaml_2.3.10          doParallel_1.0.17    codetools_0.2-20    
## [46] listenv_0.9.1        lattice_0.22-6       withr_3.0.2         
## [49] bayestestR_0.14.0    coda_0.19-4.1        evaluate_0.24.0     
## [52] gridGraphics_0.5-1   future_1.67.0        pillar_1.11.1       
## [55] carData_3.0-5        foreach_1.5.2        insight_1.4.2       
## [58] generics_0.1.4       rprojroot_2.1.0      AER_1.2-14          
## [61] hms_1.1.4            scales_1.4.0         globals_0.18.0      
## [64] xtable_1.8-4         glue_1.8.0           emmeans_1.10.4      
## [67] tools_4.4.1          lfe_3.0-0            data.table_1.17.8   
## [70] pcse_1.9.1.1         ModelMetrics_1.2.2.2 fs_1.6.4            
## [73] mvtnorm_1.3-1        grid_4.4.1           datawizard_0.12.3   
## [76] nlme_3.1-164         patchwork_1.3.2      performance_0.12.3  
## [79] Formula_1.2-5        cli_3.6.5            gtable_0.3.6        
## [82] yulab.utils_0.1.8    sass_0.4.9           digest_0.6.37       
## [85] ggplotify_0.1.2      farver_2.1.2         htmltools_0.5.8.1   
## [88] lifecycle_1.0.4      MASS_7.3-60.2</code></pre>
<pre class="r"><code># read data
load(here(&quot;Rieger2025_data.RData&quot;))

# Main analysis ====
  ## Committee appointment ----
    ### Fit models ----
      # Model 1
      mCOM.policyFE1 = feglm(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          1,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )
      summary(mCOM.policyFE1)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Standard-errors: IID 
##                                  Estimate Std. Error   z value   Pr(&gt;|z|)    
## (Intercept)                     -0.350197   0.040599 -8.625713  &lt; 2.2e-16 ***
## oppoutinopposition              -0.426979   0.049628 -8.603572  &lt; 2.2e-16 ***
## oppoutinoutsider                -0.512249   0.070011 -7.316743 2.5406e-13 ***
## oppoutininsider:delta_policy     0.034414   0.040395  0.851945 3.9424e-01    
## oppoutinopposition:delta_policy -0.043415   0.028299 -1.534160 1.2499e-01    
## oppoutinoutsider:delta_policy    0.166545   0.061114  2.725154 6.4271e-03 ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -6,177.1   Adj. Pseudo R2: 0.007163
##            BIC: 12,409.3     Squared Cor.: 0.010332</code></pre>
<pre class="r"><code>      #### Model 2
      mCOM.policyFEcabparty = feglm(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          cabparty,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyFEcabparty)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: cabparty: 419
## Standard-errors: IID 
##                                  Estimate Std. Error   z value Pr(&gt;|z|)    
## oppoutinoutsider                -0.044325   0.099433 -0.445774 0.655761    
## oppoutininsider:delta_policy     0.009258   0.057884  0.159932 0.872935    
## oppoutinopposition:delta_policy -0.029229   0.040223 -0.726680 0.467422    
## oppoutinoutsider:delta_policy    0.194427   0.078554  2.475077 0.013321 *  
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,793.0   Adj. Pseudo R2: 0.162483
##            BIC: 13,470.9     Squared Cor.: 0.277982</code></pre>
<pre class="r"><code>      # Model 3
      mCOM.policyFEcabpartycom = feglm(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          cabparty + title_short,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyFEcabpartycom)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: cabparty: 419,  title_short: 24
## Standard-errors: IID 
##                                  Estimate Std. Error   z value  Pr(&gt;|z|)    
## oppoutinoutsider                -0.036223   0.103897 -0.348640 0.7273593    
## oppoutininsider:delta_policy     0.017759   0.060101  0.295487 0.7676215    
## oppoutinopposition:delta_policy -0.036175   0.041873 -0.863917 0.3876333    
## oppoutinoutsider:delta_policy    0.224400   0.082104  2.733124 0.0062737 ** 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,475.7   Adj. Pseudo R2: 0.209749
##            BIC: 13,047.5     Squared Cor.: 0.333882</code></pre>
<pre class="r"><code>      # Model 4
      mCOM.policyFEcabpartycom_term = feglm(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          cabparty^EPterm + title_short^EPterm,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyFEcabpartycom_term)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: cabparty^EPterm: 433,  title_short^EPterm: 90
## Standard-errors: IID 
##                                  Estimate Std. Error   z value  Pr(&gt;|z|)    
## oppoutinoutsider                -0.024086   0.106118 -0.226972 0.8204459    
## oppoutininsider:delta_policy     0.027079   0.061087  0.443293 0.6575539    
## oppoutinopposition:delta_policy -0.037312   0.043209 -0.863542 0.3878393    
## oppoutinoutsider:delta_policy    0.234438   0.083471  2.808615 0.0049755 ** 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,433.2   Adj. Pseudo R2: 0.203726
##            BIC: 13,697.2     Squared Cor.: 0.341227</code></pre>
<pre class="r"><code>    ### Generate Table 1 ----
    models_policy_COM = list(mCOM.policyFE1,
                             mCOM.policyFEcabparty,
                             mCOM.policyFEcabpartycom,
                             mCOM.policyFEcabpartycom_term)
    FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                 &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                 &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                 &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                 &quot;Log. Lik.&quot;, round(unlist(lapply(models_policy_COM, logLik)), 3)),
                               ncol = length(models_policy_COM) + 1, byrow = T))
    attr(FE_add, &quot;position&quot;) = 12 + 1:nrow(FE_add)

    regtab = modelsummary(models_policy_COM,
                          #output = &quot;latex&quot;,
                          coef_map = cmap,
                          gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                          add_rows = FE_add,
                          escape=FALSE,
                          stars = T,
                          title = &quot;Binary logistic regression estimates. DV: Committee appointment. Standard errors in parentheses.\\label{tab:regtab_deltapolicy_COM}&quot;)
    regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_sh5amtip4d77dn1y7xs8(i, j, css_id) {
        var table = document.getElementById("tinytable_sh5amtip4d77dn1y7xs8");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_sh5amtip4d77dn1y7xs8');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_sh5amtip4d77dn1y7xs8(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_sh5amtip4d77dn1y7xs8");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(0, 0, 'tinytable_css_idflse5hbsukato7s0g14z') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(0, 1, 'tinytable_css_idf5csnssn51bmhpe5z9sd') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(0, 2, 'tinytable_css_idf5csnssn51bmhpe5z9sd') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(0, 3, 'tinytable_css_idf5csnssn51bmhpe5z9sd') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(0, 4, 'tinytable_css_idf5csnssn51bmhpe5z9sd') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(1, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(1, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(1, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(1, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(1, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(2, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(2, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(2, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(2, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(2, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(3, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(3, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(3, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(3, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(3, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(4, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(4, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(4, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(4, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(4, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(5, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(5, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(5, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(5, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(5, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(6, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(6, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(6, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(6, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(6, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(7, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(7, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(7, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(7, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(7, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(8, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(8, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(8, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(8, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(8, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(9, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(9, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(9, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(9, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(9, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(10, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(10, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(10, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(10, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(10, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(11, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(11, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(11, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(11, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(11, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(12, 0, 'tinytable_css_idwhpofedsep4v4z5wg3d7') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(12, 1, 'tinytable_css_id6zzbunot0o2d1bo7gl8b') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(12, 2, 'tinytable_css_id6zzbunot0o2d1bo7gl8b') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(12, 3, 'tinytable_css_id6zzbunot0o2d1bo7gl8b') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(12, 4, 'tinytable_css_id6zzbunot0o2d1bo7gl8b') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(13, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(13, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(13, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(13, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(13, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(14, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(14, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(14, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(14, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(14, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(15, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(15, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(15, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(15, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(15, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(16, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(16, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(16, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(16, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(16, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(17, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(17, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(17, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(17, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(17, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(18, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(18, 1, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(18, 2, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(18, 3, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(18, 4, 'tinytable_css_id72h7f4czerzzdf2camdq') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(19, 0, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(19, 1, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(19, 2, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(19, 3, 'tinytable_css_idxluk2fi42narb8jlachw') })
window.addEventListener('load', function () { styleCell_sh5amtip4d77dn1y7xs8(19, 4, 'tinytable_css_idxluk2fi42narb8jlachw') })
    </script>

    <style>
.table td.tinytable_css_idflse5hbsukato7s0g14z, .table th.tinytable_css_idflse5hbsukato7s0g14z { text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idf5csnssn51bmhpe5z9sd, .table th.tinytable_css_idf5csnssn51bmhpe5z9sd { text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idxluk2fi42narb8jlachw, .table th.tinytable_css_idxluk2fi42narb8jlachw { text-align: left; }
.table td.tinytable_css_id72h7f4czerzzdf2camdq, .table th.tinytable_css_id72h7f4czerzzdf2camdq { text-align: center; }
.table td.tinytable_css_idwhpofedsep4v4z5wg3d7, .table th.tinytable_css_idwhpofedsep4v4z5wg3d7 { border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_id6zzbunot0o2d1bo7gl8b, .table th.tinytable_css_id6zzbunot0o2d1bo7gl8b { border-bottom: solid 0.05em black; text-align: center; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_sh5amtip4d77dn1y7xs8" style="width: auto; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Committee appointment. Standard errors in parentheses.\label{tab:regtab_deltapolicy_COM}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                       </td>
                  <td>-0.512***</td>
                  <td>-0.044     </td>
                  <td>-0.036     </td>
                  <td>-0.024     </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.070)  </td>
                  <td>(0.099)    </td>
                  <td>(0.104)    </td>
                  <td>(0.106)    </td>
                </tr>
                <tr>
                  <td>Opposition                                     </td>
                  <td>-0.427***</td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.050)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Insider $\times$ $\Delta_{\text{policy}}$   </td>
                  <td>0.034    </td>
                  <td>0.009      </td>
                  <td>0.018      </td>
                  <td>0.027      </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.040)  </td>
                  <td>(0.058)    </td>
                  <td>(0.060)    </td>
                  <td>(0.061)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$  </td>
                  <td>0.167**  </td>
                  <td>0.194*     </td>
                  <td>0.224**    </td>
                  <td>0.234**    </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.061)  </td>
                  <td>(0.079)    </td>
                  <td>(0.082)    </td>
                  <td>(0.083)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$</td>
                  <td>-0.043   </td>
                  <td>-0.029     </td>
                  <td>-0.036     </td>
                  <td>-0.037     </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.028)  </td>
                  <td>(0.040)    </td>
                  <td>(0.042)    </td>
                  <td>(0.043)    </td>
                </tr>
                <tr>
                  <td>Intercept                                      </td>
                  <td>-0.350***</td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.041)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                     </td>
                  <td>         </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                   </td>
                  <td>         </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                    </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE      </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                      </td>
                  <td>-6177.102</td>
                  <td>-4792.972  </td>
                  <td>-4475.655  </td>
                  <td>-4433.162  </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                       </td>
                  <td>9742     </td>
                  <td>9742       </td>
                  <td>9742       </td>
                  <td>9742       </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>    save_tt(regtab, here(&quot;tab1.txt&quot;), overwrite = T)
    rm(regtab, FE_add, models_policy_COM)

    ### Generate Figure 1 ----
    pdat = plot_slopes(mCOM.policyFEcabpartycom_term, variables = &quot;delta_policy&quot;, by = &quot;oppoutin&quot;, draw = F)
    pdat</code></pre>
<pre><code>##           term    contrast   oppoutin     estimate   std.error  statistic
## 1 delta_policy mean(dY/dX)    insider  0.004098108 0.009244191  0.4433171
## 2 delta_policy mean(dY/dX) opposition -0.005445422 0.006295541 -0.8649648
## 3 delta_policy mean(dY/dX)   outsider  0.034585011 0.012241971  2.8251180
##       p.value   s.value    conf.low   conf.high predicted_lo predicted_hi
## 1 0.657536365 0.6048574 -0.01402017 0.022216390   0.04355801   0.04355904
## 2 0.387058107 1.3693779 -0.01778446 0.006893613   0.06169484   0.06169287
## 3 0.004726321 7.7250666  0.01059119 0.058578833   0.05961395   0.05962592
##    predicted
## 1 0.04355852
## 2 0.06169385
## 3 0.05961993</code></pre>
<pre class="r"><code>    pdat$oppoutin = case_match(pdat$oppoutin,
                               &quot;outsider&quot; ~ &quot;Outsider&quot;,
                               &quot;opposition&quot; ~ &quot;Opposition&quot;,
                               &quot;insider&quot; ~ &quot;Insider&quot;)
    ggplot(pdat, aes(x = oppoutin, ydist = dist_normal(estimate, std.error))) +
      geom_hline(yintercept = 0, linetype = 2) +
      stat_eye(fill = &quot;grey80&quot;, .width = c(.90, .95), alpha = 0.5) +
      stat_eye(fill = NA, .width = c(.90, .95)) +
      theme_bw() +
      labs(x = &quot;Party status&quot;, y = TeX(&quot;Effect of misalignment ($\\Delta_{policy}$) on committee membership&quot;))</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>    ggsave(here(&quot;fig1.pdf&quot;), width = 6.5, height = 4)

  ## Rapporteur Assignment ----
    ### Fit models ----
    mRAP.policyagreeFE1 = feglm(
      appointed ~
        member_pct +
        oppoutin*delta_policy*billdisagree_wo
      |
        1
      ,
      family = binomial,
      vcov = &quot;iid&quot;,
      fixef.rm = &quot;none&quot;,
      data = d_RAP,
      fixef.keep_names = T
    )
    summary(mRAP.policyagreeFE1)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Standard-errors: IID 
##                                                  Estimate Std. Error    z value
## (Intercept)                                     -3.446573   0.041094 -83.870273
## member_pct                                       0.346785   0.009915  34.974414
## oppoutinopposition                               0.265127   0.044494   5.958742
## oppoutinoutsider                                 0.020869   0.058573   0.356287
## delta_policy                                    -0.048296   0.029156  -1.656501
## billdisagree_wo                                  0.204393   0.164159   1.245094
## oppoutinopposition:delta_policy                 -0.052846   0.043044  -1.227719
## oppoutinoutsider:delta_policy                   -0.225442   0.073220  -3.078958
## oppoutinopposition:billdisagree_wo               0.229442   0.206369   1.111806
## oppoutinoutsider:billdisagree_wo                 0.599439   0.262390   2.284535
## delta_policy:billdisagree_wo                    -0.028815   0.158916  -0.181319
## oppoutinopposition:delta_policy:billdisagree_wo  0.135896   0.195580   0.694836
## oppoutinoutsider:delta_policy:billdisagree_wo    1.279755   0.316358   4.045273
##                                                   Pr(&gt;|z|)    
## (Intercept)                                      &lt; 2.2e-16 ***
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              2.5419e-09 ***
## oppoutinoutsider                                7.2163e-01    
## delta_policy                                    9.7620e-02 .  
## billdisagree_wo                                 2.1310e-01    
## oppoutinopposition:delta_policy                 2.1955e-01    
## oppoutinoutsider:delta_policy                   2.0773e-03 ** 
## oppoutinopposition:billdisagree_wo              2.6622e-01    
## oppoutinoutsider:billdisagree_wo                2.2340e-02 *  
## delta_policy:billdisagree_wo                    8.5612e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 4.8716e-01    
## oppoutinoutsider:delta_policy:billdisagree_wo   5.2262e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -15,074.4   Adj. Pseudo R2: 0.036667
##            BIC:  30,292.3     Squared Cor.: 0.019654</code></pre>
<pre class="r"><code>    mRAP.policyagreeFEcabparty = feglm(
      appointed ~
        member_pct +
        oppoutin*delta_policy*billdisagree_wo
      |
        cabparty
      ,
      family = binomial,
      vcov = &quot;iid&quot;,
      fixef.rm = &quot;none&quot;,
      data = d_RAP,
      fixef.keep_names = T
    )
    summary(mRAP.policyagreeFEcabparty)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## member_pct                                       0.263213   0.018199 14.462692
## oppoutinopposition                               0.091825   0.226084  0.406155
## oppoutinoutsider                                -0.012188   0.069830 -0.174542
## delta_policy                                    -0.040584   0.034001 -1.193607
## billdisagree_wo                                 -0.371104   0.197837 -1.875805
## oppoutinopposition:delta_policy                 -0.076413   0.052099 -1.466679
## oppoutinoutsider:delta_policy                   -0.132849   0.080982 -1.640484
## oppoutinopposition:billdisagree_wo              -0.264950   0.264708 -1.000914
## oppoutinoutsider:billdisagree_wo                 0.662569   0.296084  2.237777
## delta_policy:billdisagree_wo                    -0.075077   0.177533 -0.422891
## oppoutinopposition:delta_policy:billdisagree_wo  0.559602   0.228160  2.452668
## oppoutinoutsider:delta_policy:billdisagree_wo    1.497824   0.370271  4.045208
##                                                   Pr(&gt;|z|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              6.8463e-01    
## oppoutinoutsider                                8.6144e-01    
## delta_policy                                    2.3263e-01    
## billdisagree_wo                                 6.0682e-02 .  
## oppoutinopposition:delta_policy                 1.4246e-01    
## oppoutinoutsider:delta_policy                   1.0090e-01    
## oppoutinopposition:billdisagree_wo              3.1687e-01    
## oppoutinoutsider:billdisagree_wo                2.5236e-02 *  
## delta_policy:billdisagree_wo                    6.7237e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 1.4180e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   5.2277e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,482.9   Adj. Pseudo R2: 0.104577
##            BIC:  32,935.0     Squared Cor.: 0.099187</code></pre>
<pre class="r"><code>    mRAP.policyagreeFEcabpartycom = feglm(
      appointed ~
        member_pct +
        oppoutin*delta_policy*billdisagree_wo
      |
        cabparty +
        title_short
      ,
      family = binomial,
      vcov = &quot;iid&quot;,
      fixef.rm = &quot;none&quot;,
      data = d_RAP,
      fixef.keep_names = T
    )
    summary(mRAP.policyagreeFEcabpartycom)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529,  title_short: 20
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## member_pct                                       0.217290   0.020257 10.726922
## oppoutinopposition                               0.081865   0.225975  0.362274
## oppoutinoutsider                                -0.046809   0.071692 -0.652920
## delta_policy                                    -0.031566   0.034414 -0.917248
## billdisagree_wo                                 -0.385265   0.199218 -1.933889
## oppoutinopposition:delta_policy                 -0.066455   0.052710 -1.260768
## oppoutinoutsider:delta_policy                   -0.125882   0.081510 -1.544377
## oppoutinopposition:billdisagree_wo              -0.235798   0.265704 -0.887446
## oppoutinoutsider:billdisagree_wo                 0.667245   0.298055  2.238665
## delta_policy:billdisagree_wo                    -0.091442   0.177127 -0.516251
## oppoutinopposition:delta_policy:billdisagree_wo  0.570867   0.228267  2.500875
## oppoutinoutsider:delta_policy:billdisagree_wo    1.485513   0.371126  4.002721
##                                                   Pr(&gt;|z|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              7.1715e-01    
## oppoutinoutsider                                5.1381e-01    
## delta_policy                                    3.5901e-01    
## billdisagree_wo                                 5.3127e-02 .  
## oppoutinopposition:delta_policy                 2.0739e-01    
## oppoutinoutsider:delta_policy                   1.2250e-01    
## oppoutinopposition:billdisagree_wo              3.7484e-01    
## oppoutinoutsider:billdisagree_wo                2.5178e-02 *  
## delta_policy:billdisagree_wo                    6.0568e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 1.2389e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   6.2618e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,435.1   Adj. Pseudo R2: 0.106414
##            BIC:  33,049.1     Squared Cor.: 0.101788</code></pre>
<pre class="r"><code>    mRAP.policyagreeFEcabpartycom_term = feglm(
      appointed ~
        member_pct +
        oppoutin*delta_policy*billdisagree_wo
      |
        cabparty^EPterm +
        title_short^EPterm
      ,
      family = binomial,
      vcov = &quot;iid&quot;,
      fixef.rm = &quot;none&quot;,
      data = d_RAP,
      fixef.keep_names = T
    )
    summary(mRAP.policyagreeFEcabpartycom_term)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty^EPterm: 701,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## member_pct                                       0.235429   0.022287 10.563520
## oppoutinopposition                               0.298703   0.290886  1.026873
## oppoutinoutsider                                -0.066732   0.073696 -0.905508
## delta_policy                                    -0.021477   0.034919 -0.615058
## billdisagree_wo                                 -0.404891   0.202864 -1.995872
## oppoutinopposition:delta_policy                 -0.078778   0.053785 -1.464675
## oppoutinoutsider:delta_policy                   -0.143528   0.083076 -1.727675
## oppoutinopposition:billdisagree_wo              -0.171480   0.269823 -0.635527
## oppoutinoutsider:billdisagree_wo                 0.745618   0.303057  2.460325
## delta_policy:billdisagree_wo                    -0.102219   0.179675 -0.568912
## oppoutinopposition:delta_policy:billdisagree_wo  0.550166   0.230972  2.381960
## oppoutinoutsider:delta_policy:billdisagree_wo    1.529857   0.375480  4.074405
##                                                   Pr(&gt;|z|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              3.0448e-01    
## oppoutinoutsider                                3.6520e-01    
## delta_policy                                    5.3852e-01    
## billdisagree_wo                                 4.5948e-02 *  
## oppoutinopposition:delta_policy                 1.4301e-01    
## oppoutinoutsider:delta_policy                   8.4047e-02 .  
## oppoutinopposition:billdisagree_wo              5.2508e-01    
## oppoutinoutsider:billdisagree_wo                1.3881e-02 *  
## delta_policy:billdisagree_wo                    5.6942e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 1.7221e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   4.6132e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,270.4   Adj. Pseudo R2: 0.103393
##            BIC:  35,058.9     Squared Cor.: 0.10969</code></pre>
<pre class="r"><code>  ### Generate Table A5 ----
  models_policyagree_RAP = list(mRAP.policyagreeFE1,
                                mRAP.policyagreeFEcabparty,
                                mRAP.policyagreeFEcabpartycom,
                                mRAP.policyagreeFEcabpartycom_term)
  FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                               &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                               &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                               &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                               &quot;Log. Lik.&quot;, round(unlist(lapply(models_policyagree_RAP, logLik)), 3)),
                             ncol = length(models_policyagree_RAP) + 1, byrow = T))
  attr(FE_add, &quot;position&quot;) = 26 + 1:nrow(FE_add)

  regtab = modelsummary(models_policyagree_RAP,
                        #output = &quot;latex&quot;,
                        coef_map = cmap,
                        gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                        add_rows = FE_add,
                        escape=FALSE,
                        stars = T,
                        width = c(0.4, rep(0.6/length(models_policyagree_RAP), length(models_policyagree_RAP))),
                        title = &quot;Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_policyagree_RAP}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
  regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_lujh9de4i37k0crq3uca(i, j, css_id) {
        var table = document.getElementById("tinytable_lujh9de4i37k0crq3uca");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_lujh9de4i37k0crq3uca');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_lujh9de4i37k0crq3uca(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_lujh9de4i37k0crq3uca");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(0, 0, 'tinytable_css_idgk7k0lri2za7uzz1fz4g') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(0, 1, 'tinytable_css_id0m398hbpsuujjnpwwbtt') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(0, 2, 'tinytable_css_id0m398hbpsuujjnpwwbtt') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(0, 3, 'tinytable_css_id0m398hbpsuujjnpwwbtt') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(0, 4, 'tinytable_css_id0m398hbpsuujjnpwwbtt') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(1, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(1, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(1, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(1, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(1, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(2, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(2, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(2, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(2, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(2, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(3, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(3, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(3, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(3, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(3, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(4, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(4, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(4, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(4, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(4, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(5, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(5, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(5, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(5, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(5, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(6, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(6, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(6, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(6, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(6, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(7, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(7, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(7, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(7, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(7, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(8, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(8, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(8, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(8, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(8, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(9, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(9, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(9, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(9, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(9, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(10, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(10, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(10, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(10, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(10, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(11, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(11, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(11, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(11, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(11, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(12, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(12, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(12, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(12, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(12, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(13, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(13, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(13, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(13, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(13, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(14, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(14, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(14, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(14, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(14, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(15, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(15, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(15, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(15, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(15, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(16, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(16, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(16, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(16, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(16, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(17, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(17, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(17, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(17, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(17, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(18, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(18, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(18, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(18, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(18, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(19, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(19, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(19, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(19, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(19, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(20, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(20, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(20, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(20, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(20, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(21, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(21, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(21, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(21, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(21, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(22, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(22, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(22, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(22, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(22, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(23, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(23, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(23, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(23, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(23, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(24, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(24, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(24, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(24, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(24, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(25, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(25, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(25, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(25, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(25, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(26, 0, 'tinytable_css_idrptmue23nblqw1ezj998') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(26, 1, 'tinytable_css_id2x6l2hbilp9t7n093wzk') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(26, 2, 'tinytable_css_id2x6l2hbilp9t7n093wzk') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(26, 3, 'tinytable_css_id2x6l2hbilp9t7n093wzk') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(26, 4, 'tinytable_css_id2x6l2hbilp9t7n093wzk') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(27, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(27, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(27, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(27, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(27, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(28, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(28, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(28, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(28, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(28, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(29, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(29, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(29, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(29, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(29, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(30, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(30, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(30, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(30, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(30, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(31, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(31, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(31, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(31, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(31, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(32, 0, 'tinytable_css_idlyw7vtytmmpy6pdy2aaq') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(32, 1, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(32, 2, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(32, 3, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(32, 4, 'tinytable_css_idvxfcxiam4d51y4drr010') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(33, 0, 'tinytable_css_idd65vwf0jcb7qnp5ise7b') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(33, 1, 'tinytable_css_idd65vwf0jcb7qnp5ise7b') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(33, 2, 'tinytable_css_idd65vwf0jcb7qnp5ise7b') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(33, 3, 'tinytable_css_idd65vwf0jcb7qnp5ise7b') })
window.addEventListener('load', function () { styleCell_lujh9de4i37k0crq3uca(33, 4, 'tinytable_css_idd65vwf0jcb7qnp5ise7b') })
    </script>

    <style>
.table td.tinytable_css_idgk7k0lri2za7uzz1fz4g, .table th.tinytable_css_idgk7k0lri2za7uzz1fz4g { width: 40%; text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_id0m398hbpsuujjnpwwbtt, .table th.tinytable_css_id0m398hbpsuujjnpwwbtt { width: 15%; text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idlyw7vtytmmpy6pdy2aaq, .table th.tinytable_css_idlyw7vtytmmpy6pdy2aaq { width: 40%; text-align: left; }
.table td.tinytable_css_idvxfcxiam4d51y4drr010, .table th.tinytable_css_idvxfcxiam4d51y4drr010 { width: 15%; text-align: center; }
.table td.tinytable_css_idrptmue23nblqw1ezj998, .table th.tinytable_css_idrptmue23nblqw1ezj998 { width: 40%; border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_id2x6l2hbilp9t7n093wzk, .table th.tinytable_css_id2x6l2hbilp9t7n093wzk { width: 15%; border-bottom: solid 0.05em black; text-align: center; }
.table td.tinytable_css_idd65vwf0jcb7qnp5ise7b, .table th.tinytable_css_idd65vwf0jcb7qnp5ise7b { text-align: left; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_lujh9de4i37k0crq3uca" style="table-layout: fixed; width: 100% !important; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_policyagree_RAP}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                   </td>
                  <td>0.021     </td>
                  <td>-0.012     </td>
                  <td>-0.047     </td>
                  <td>-0.067     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.059)   </td>
                  <td>(0.070)    </td>
                  <td>(0.072)    </td>
                  <td>(0.074)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                                 </td>
                  <td>0.265***  </td>
                  <td>0.092      </td>
                  <td>0.082      </td>
                  <td>0.299      </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.044)   </td>
                  <td>(0.226)    </td>
                  <td>(0.226)    </td>
                  <td>(0.291)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$                                                 </td>
                  <td>-0.048+   </td>
                  <td>-0.041     </td>
                  <td>-0.032     </td>
                  <td>-0.021     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.029)   </td>
                  <td>(0.034)    </td>
                  <td>(0.034)    </td>
                  <td>(0.035)    </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                          </td>
                  <td>0.204     </td>
                  <td>-0.371+    </td>
                  <td>-0.385+    </td>
                  <td>-0.405*    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.164)   </td>
                  <td>(0.198)    </td>
                  <td>(0.199)    </td>
                  <td>(0.203)    </td>
                </tr>
                <tr>
                  <td>Strength in committee                                                      </td>
                  <td>0.347***  </td>
                  <td>0.263***   </td>
                  <td>0.217***   </td>
                  <td>0.235***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.010)   </td>
                  <td>(0.018)    </td>
                  <td>(0.020)    </td>
                  <td>(0.022)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$ $\times$  bill disagreement                    </td>
                  <td>-0.029    </td>
                  <td>-0.075     </td>
                  <td>-0.091     </td>
                  <td>-0.102     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.159)   </td>
                  <td>(0.178)    </td>
                  <td>(0.177)    </td>
                  <td>(0.180)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$                              </td>
                  <td>-0.225**  </td>
                  <td>-0.133     </td>
                  <td>-0.126     </td>
                  <td>-0.144+    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.073)   </td>
                  <td>(0.081)    </td>
                  <td>(0.082)    </td>
                  <td>(0.083)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$                            </td>
                  <td>-0.053    </td>
                  <td>-0.076     </td>
                  <td>-0.066     </td>
                  <td>-0.079     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.043)   </td>
                  <td>(0.052)    </td>
                  <td>(0.053)    </td>
                  <td>(0.054)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                      </td>
                  <td>0.599*    </td>
                  <td>0.663*     </td>
                  <td>0.667*     </td>
                  <td>0.746*     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.262)   </td>
                  <td>(0.296)    </td>
                  <td>(0.298)    </td>
                  <td>(0.303)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                    </td>
                  <td>0.229     </td>
                  <td>-0.265     </td>
                  <td>-0.236     </td>
                  <td>-0.171     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.206)   </td>
                  <td>(0.265)    </td>
                  <td>(0.266)    </td>
                  <td>(0.270)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement  </td>
                  <td>1.280***  </td>
                  <td>1.498***   </td>
                  <td>1.486***   </td>
                  <td>1.530***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.316)   </td>
                  <td>(0.370)    </td>
                  <td>(0.371)    </td>
                  <td>(0.375)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement</td>
                  <td>0.136     </td>
                  <td>0.560*     </td>
                  <td>0.571*     </td>
                  <td>0.550*     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.196)   </td>
                  <td>(0.228)    </td>
                  <td>(0.228)    </td>
                  <td>(0.231)    </td>
                </tr>
                <tr>
                  <td>Intercept                                                                  </td>
                  <td>-3.447*** </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.041)   </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                                 </td>
                  <td>          </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                                               </td>
                  <td>          </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                                                </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                                  </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                                  </td>
                  <td>-15074.416</td>
                  <td>-13482.897 </td>
                  <td>-13435.128 </td>
                  <td>-13270.446 </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                   </td>
                  <td>61925     </td>
                  <td>61925      </td>
                  <td>61925      </td>
                  <td>61925      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>  save_tt(regtab, here(&quot;tabA5.txt&quot;), overwrite = T)
  rm(regtab, FE_add, models_policyagree_RAP)

  ### Generate Figure 2 ----
  pdat = plot_slopes(mRAP.policyagreeFEcabpartycom_term, variables = &quot;delta_policy&quot;, condition = list(&quot;billdisagree_wo&quot;, &quot;oppoutin&quot;), draw = F)
  pdat$oppoutin = case_match(pdat$oppoutin,
                             &quot;opposition&quot; ~ &quot;Opposition&quot;,
                             &quot;outsider&quot; ~ &quot;Outsider&quot;,
                             &quot;insider&quot; ~ &quot;Insider&quot;)
  pdat %&gt;% filter(billdisagree_wo == 1)</code></pre>
<pre><code>##   rowid         term     estimate   std.error  statistic      p.value   s.value
## 1   148 delta_policy  0.020743596 0.009307925  2.2285952 0.0258408528  5.274203
## 2   149 delta_policy -0.006266065 0.008208804 -0.7633347 0.4452638298  1.167268
## 3   150 delta_policy  0.130255167 0.037069281  3.5138304 0.0004416947 11.144663
##       conf.low   conf.high billdisagree_wo   oppoutin predicted_lo predicted_hi
## 1  0.002500399 0.038986794               1 Opposition   0.06371208   0.06373094
## 2 -0.022355024 0.009822895               1    Insider   0.05352396   0.05351826
## 3  0.057600711 0.202909622               1   Outsider   0.11674582   0.11686424
##    predicted member_pct delta_policy      cabparty EPterm title_short appointed
## 1 0.06372151   1.713117    0.1231649 Merkel II-808      7        ENVI         0
## 2 0.05352111   1.713117    0.1231649 Merkel II-808      7        ENVI         0
## 3 0.11680502   1.713117    0.1231649 Merkel II-808      7        ENVI         0</code></pre>
<pre class="r"><code>  ggplot(pdat, aes(x = billdisagree_wo, y = estimate, ymin = conf.low, ymax = conf.high)) +
    geom_rug(inherit.aes = F,
             data = d_RAP %&gt;% dplyr::select(billdisagree_wo,oppoutin) %&gt;%
               mutate(oppoutin = case_match(oppoutin,
                                            &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                            &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                            &quot;insider&quot; ~ &quot;Insider&quot;)),
             mapping = aes(x = billdisagree_wo),
             alpha = 0.3) +
    facet_wrap(~oppoutin)+
    geom_ribbon(linetype = 2, color = &quot;grey20&quot;, fill = &quot;grey80&quot;, alpha = 0.5) +
    geom_line() +
    theme_bw() +
    theme(strip.background = element_blank(),
          strip.text = element_text(size = 11)) +
    labs(x = &quot;Bill disagreement&quot;,
         y = TeX(&quot;Effect of misalignment ($\\Delta_{policy}$) on rapporteur assignment&quot;),
    )</code></pre>
<p><img role="img" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAVAoAMABAAAAAEAAAPAAAAAALYRw1EAAEAASURBVHgB7N0HvBTV+f/xh967qKA0lWbsiA0UASmJsYBiiyUR1FgwYkGJURC7iZUYjSXqT2wURUCsFDsiiIogiKiogIgKSK/3v9+T/5nsvezesnf23p3dz3m9Ljs79Zz3DDO7z55SIS+WjIQAAggggAACCCCAAAIIIIAAAggggAACCGShQMUsLBNFQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEnAABUC4EBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBUgAJq1p5aCIYAAAggggAACCCCAAAIIIIAAAggggAABUK4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBUgAJq1p5aCIYAAAggggAACCCCAAAIIIIAAAggggAABUK4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBUgAJq1p5aCIYAAAggggAACCCCAAAIIIIAAAggggAABUK4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBUgAJq1p5aCIYAAAggggAACCCCAAAIIIIAAAggggAABUK4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBUgAJq1p5aCIYAAAggggAACCCCAAAIIIIAAAggggAABUK4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBUgAJq1p5aCIYAAAggggAACCCCAAAIIIIAAAggggAABUK4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlGkAAAQQQQAABBBBAAAEEEEAAAQQQQACBrBWonLUlo2AIIIAAAggggAACZS7www8/2Ny5c23r1q3WrFkza968udWuXbvM88EBEUAAAQQQ8AI8m7wErwjkrgA1QHP33FNyBEIR+P3vf2+NGzd2f9u2bQtln2HsZO3atUG+brrpppR22aFDB7ePM888M6Xt2QgBBBDIFYEJEybYSSedZO3atbN9993XTjvtNNO9s0uXLrbHHnvYH/7wB5syZYrl5eXlCkmJy3n99dcHz63Nmzcn3H7GjBkJ5xdn24QbMhMBBBDIYoFMfDYlu4+nehpKe/9/7rnngmfPp59+mmo22A6BSAgQAI3EaSKTCCCAAAIIIIBA5gn8+uuvdtFFF9m5555rb731lv388887ZFJBz9dee81OPfVUFyRduXLlDuswo3CBH3/80S688ELr27dv4SuyFAEEEEDAMvHZxH2cCxOB8hegCXz5nwNygAACaRKoVq2a23Plytzq0kTMbhFAIIcF5syZ42p5Ll261Ck0aNDAzjvvPNt///1tn332Md17Fy9ebK+++qo98cQTtmrVKnv77bftmGOOMdU42WuvvXJYb8eiy8s/twouveOOO2zMmDFWtWrVgovc+8K2TbgBMxFAAIEsFcjUZ1NR9/FUTwf3/1Tl2C4XBSrEfpWnLVIunnnKjEBIAmoC/8EHH7i9qW+dSpUqhbTn8t+NmsB/++231qtXLxs5cmT5Z4gcIIAAAhkioC5PevToYfqiqXTCCSfYrbfe6prRJcrimjVrrH///jZ16lS3WM3kFRitUqVKotWZV0DgyiuvdEFkBUCXLFlSYClvEUAAAQQkkMnPpky9j+sHyUsuucRdQJMnT7b99tuPiwmBrBWgCXzWnloKhgACCCCAAAIIpEdANTp98FN9fz7yyCNJg5/KQZ06dezpp5+2bt26uQxp27vuuis9mWOvCCCAAAI5KcCzKSdPO4VGoNgCtAstNhUrIoBASQX0K+wnn3ziNmvTpo0bBVijAmt04JkzZ5pqBOlXRjWXbNSoUaG7X7Rokc2ePdu+/vprq169uml/bdu2tRYtWliFChV22Hb79u328ccfu/m77rqrNW3adId1NEN9BL3++uv21VdfWcOGDe3QQw+1vffe2ypWLN7vQ6pEr7ypTAsWLDAdS00/27dvbzVq1Eh4zC1btgSBA5WjZs2apg7R1TR0l112MdWqVV5ICCCAQCYKqJ/PW265xWWtVq1aNmzYsGJlU8307rzzTuvUqZOtX7/eHnjgAbv00kuDe2X8M0PN4+vWrevu0R9++KF99NFH7hmie6sGVkp031cmvv/+e1M/a8qXnhG6R3/xxReupcKyZcvciPRHH320NWnSpMg8+/zo3q6m/Lvttpv95je/KfT+Hr/Tkj63VLNz+fLlbhcHHnigK6NaVqiLgZ9++snNV3lkobTzzjvb7rvv7qYTbesWFPhH+9MgFwsXLrRNmza58uiZ16xZswJr/vetN9C70j7HEx6AmQgggEBIAul6Nil7egZo/2rppu8tyZK+D+jequeX7+aluPdxv88wnh1+X/Gv+u6l70a//PKLK8Mhhxxi6rqmuInvPMWVYr2MFohdyCQEEEAgZYFjjz02b6eddnJ/seBmvv3E+nsLlr3zzjt506dPz2vdunUwz28X+1KZF/vFNt+2/k3sw0ZebPTgHbbx2/bp0ycv9sXPrx68xoKrwTY33nhjMD9+IvZFPC8WQA3W8/s86qij3D4POuggt0zHT5RiH1DyevbsucP22k9sJOS8V155JdFmebEPQsE2se4D8mJ95gXvtW3Lli3zYqPYJ9yWmQgggEB5Czz44IPBPStWi7PE2Yk1Awy2f/HFF4Pt458Zb7zxRt6zzz6bF/tRKFjX36MPO+ywvPfeey/YLn7ir3/9q1tf9+bYl7y8WBcmO2wfC37mXXXVVXmxL6nxm+abjg3olNe5c+cdtlUeYoHAvHHjxuVbP/5Nqs+t6667Ljiez5ueU77cBV+vvfba4LCJtg0WxiZiP/blaZ3Yj3QJ9/fHP/4xb8WKFfGbuOn4c5Lqc3yHnTIDAQQQSINAup5Nymqsibi7dzZv3rzQnPvvDqeddlqwXnHv42E+O4KDxyZiP3glfBY2btw4L/ZDpHvW+udLrOJK/KbBNN95AgomIi5QvCpOGR3CJXMIIBAFAY0AfPLJJ5tG/23VqpXFgoxBLUf9UnrFFVfYv//973xF2bhxo8WCj66fOC2IfahwowjHgq6uOaXmqdak9qW+OkuSLr/8ctdf3bp161xNIdUoOvHEE10Nn3nz5lnsy7MbsCPZPidOnGhdu3YNauKots7pp5/u8lK7dm1XW+fMM8+0G264Idku3Pwnn3zSXnjhhXzrqBaqai+REEAAgUwU+PLLL4Ns6f5b0vS73/0u2OSll14KpuMnHn/8cdcnmWrb6H78l7/8xQ2epPc6fr9+/YL+ROO389MacOm4446zWbNm2Z577un6Hz3nnHNcqwHVwn/sscfc80WtEgqm//znP2609fnz57vWAOqvVMfTvVktEFR7ZsCAATZw4MCCm1rYzy21CijYSkLv9ZesZUPBTMV+UHPPK9W4VXljX3Rd/63qt9XX/NQz7cgjjwyeaQX3ofepPMcT7Yd5CCCAQDoEyuLZlEq+i3MfD/vZ4fOpGql65upZqKTnobqt0fNMfXDHfhiz++67z6+e8JXvPAlZmBlVgYgHcMk+AgiUs0Bxa4Dql8VYkDBPNUh8ijVTz4v1CRfURtGvprHmdn5x3vPPPx8si30hDeZrIvYFNi/2wA6W33bbbfmWF1YDNNbkPdguNhpxXqx5YbCt8nTzzTcHy5XvgjVAY0HcoCZrrAl/vjJpR/oFN/bhItiHar7Gp/gaoNp/rEllXuzLeF6sWWKefr1WzSMSAgggkKkCsR+LgvtbolqDReU7/v6se7BP8bUNdW9UTfpY83e/2L3q/hj7AueOHwtM5sV+xMq33NcA1fb6iwVO8zZv3hysE2t6nxcLXgb5f+ihh4Jlmoh9gc6LBQXd8gMOOCAv1mQw3/LYj215scGfgu3Hjh2bb3lpnluF1eKM/UjojhkLeuY7nn9T2LaXXXZZkN9rrrlmh5qvsR8f81QrVl6q9arnq08Fz0lJn+N+P7wigAAC6RZI17NJ+S5NDVBf7sLu4+l4dug7jW+pptYUsb66fVbca6x7l7yOHTsGzwc9AwrWAOU7Tz4y3mSBADVAoxq5Jt8IRFBgxIgRru83n3X14aZak6eeeqqbpVqcqn3pUyxw6Cbr169vZ599tp/tXtWX3IUXXuh+yYw9sF0/nPlWKOTNPffc45ZWq1bNnnrqqXx9wSlPsS/QrrZqsl3Egq2uJqvWffjhh/OVSduo/85Y002XN73X/tQnabIkl1jzQ1MtowsuuMDVwkm2LvMRQACB8hZQ/2RKqqmu+29Jk2rJ+z6S1TdasqR748EHH5xvsWopXn/99W6e+vQcNWpUvuXxb9RqQPf7+JHmddx//etfQd+Z/nngt1Otzg0bNrianxoZt0OHDn6Re1WNydgX1WDAJ+VFNSx9Stdzy++/pK/Tpk2zkSNHus369u3rWj5oJPn4dP7551usOb2bpVqvBVtjxK9b0ud4/LZMI4AAAukUKKtnUzrKkI5nh1rJ+T6jY91tuZYQ8XlXv84anDBZn9pal+888WJMZ4MAAdBsOIuUAYEICMRq0uwQKPTZ1qASPsVqT/pJNyCQ3qgp4/jx44P5fkJB0Hfffdc+//xzi9Xi8bMLfVUg0o9crOCrBpFIlAYNGpRotmlACDVbV4rVXDJ1IJ4oKW/6UqmkASeUx0RJTVHUlJ6EAAIIREFAwUEFHpX8ADyp5FsDRCipOXmipOCl7rGJUqxvteD54Ae7S7Te4MGDE812AdFYbR63TAMmaZAhpdWrV5sGXFJSk3d9OUyUFMD1zwgNWhSrlRqspqaOSmE+t4KdpzChQf6UNLDf1VdfnXQP/fv3d4P4aYXRo0cnXC+V53jCHTETAQQQCFmgrJ5NIWc72F06nh1+IFp1HXPRRRcFx4qf0EBN6g4lUeI7TyIV5kVdgABo1M8g+UcgIgKxgX2S5jTWoXiwTH2z+dS9e3c/6YKJ6sNGtXX0QI/VwHfL9FAvSdIo8hp9WClZ8FLL9MVXI7oXTBphONac0s1W4FZfcpP9Kbjpk0aZT5Ti10m0nHkIIIBAJgmo9qCCaUqxpuwpZU33+VjTebdtshFoC/thSHmIdT/itvc/aBXMiGq0FNY/aXzNTr8PjRbvk/qFLixpJHmf4vudS8dzyx8nlVdfJj1n99hjj6S7UN+mscGl3HI9r/wzNn6DVJ7j8dszjQACCKRLoKyeTenKfzqeHZ999pnLrlouxLo5SZr1ZM9KvvMkJWNBhAUIgEb45JF1BKIkEBvpPWl29cXLp/im4hrkITbCsPkgp2rmxPrndLWC9tlnHzcAxeTJk92gDn77ol7VGbhPRQ0gkSjPvnmN9qFgbGxU+6R/GvTJp2QBUA0IRUIAAQSiIqD7sa+popqT/gelkuRf3Z34e32y+3BRtUv9/VlNthMNZKQfsOKbvhfMn99e8xMFQP3gQAW38+/jl8cHQNPx3PLHTOXVB0Dj85tsP/7HSNWkWrJkyQ6rxZsVXJjsOV5wPd4jgAAC6RAoq2dTOvKufabj2eG/8yR7zvqyJLu3853HC/GaTQIEQLPpbFIWBDJYIP7LUUmyedZZZ9mLL75oxx9/vKnPTp/UbFH9bKop5O9//3srrB85v41ev/nmm+Ct+hYtLCVqHu+bSha2XaJlib5Maj31F0pCAAEEoiQQX5Mw2Y87hZVHNfF9atGihZ/M99q4ceN87wu+qVOnjpulGvm+Nmn8Oonu3/HL/faa5+/P8c+Rovo21TPN92NasBl/2M+t+HyXZFq1ONVEX6mo8mid+Nq4Bcuk5ak+x7UtCQEEEEi3QFk8m9JZhrCfHf47Tyrfd1ROvvOk82yz7/ISqFxeB+a4CCCAQHEFDj30UNOfaqW8//77NnXqVFPNz4ULF7pdzJo1y9UKnT17dqE1frRy/Bc8fdmN73+0YH5iIx8WnGXxv6Lef//9pmb5xUmF1UQqzvasgwACCGSKgH6QUv/LSm+88YapRn5J0ssvvxysfuyxxwbT8ROJgprxy30/pJrXqFGj+EVuWj+SFZYSbR9fS1LL1TdasqSuT/RMUkp0/DCfW8nyUNR8dQOgmrSLFy8O+m0tbJv4L7uJylTYtixDAAEEylugLJ5NvvVCsrJu3Lgx2aJizQ/z2aHvPPquE//jXqJMJPq+o/X4zpNIi3lRF6AGaNTPIPlHIIcEVNumW7duduONN9p7771n77zzTjBIhWq5zJgxo0iN+GYe6tumsPTdd9/tsDj+12U1e9RgGMX5i6+9usNOmYEAAghESEADJviuSdQVSFFfruKLNm/evGBUct07e/fuHb84mI4PxgUz4yZ8rU01xy84qrlW0zMhUdN4vwu/vd77pt/x93c10y8sxS8vrLZqGM+twvJR1DJfpvj8Jtsmfh0CoMmUmI8AApkqkM5nk+/7On6sgoIOqnWvH8fCSGE8O/x3nlS+76gM/vmhab7zSIGUDQIEQLPhLFIGBLJQQCMPDhw40Hr06JF05MK2bdva9ddfH5T+o48+CqaTTWiQB99sMdHI8n67BQsWBM0i/Ty96ouyD2ZqdN3CfglW030NpHHmmWfa9OnT43fDNAIIIBBZAQXHzj//fJf/devW2d/+9reEg+YULKDu69dee21w3xwwYEDSZtWvvfZawc2D9wpezpw5071PNlK87s1qKZAsjRs3LljkB5+IH5Tu+eefD5Ynmhg7dmwwu1OnTm46Xc8t7Vy1OZUSDU7kFiT5x9diVUD5gw8+SLKWuW4E3n77bbf84IMPTnpeku6ABQgggEA5C6Tz2eS7ANF9/tdff01YUg065AdKTbRCsvt4up4dqjSipBYRhX0PUcu6RInvPIlUmBd1AQKgUT+D5B+BLBVQ7SLVRvn4449t9OjRwSAVhRW3Y8eOhS12y2rWrGknnniim37rrbfMf+EruOFtt91WcJZ7r1+A/Rd/fdB57LHHEq63du1a0z5U22natGluoKSEKzITAQQQiKDAkCFDzAcM9WOP+mP2/U0mKo6aYau/ZtXcV9Io7oMHD060qpv3ySefWHxT+fgV//GPf5ivhRM/2Fz8Opr++9//bvpiWTApL08//bSbffjhh5uvJaPmgqeffrqbr+fDlClTCm7q3qt1wH/+8x83rS/cRx55pJtO13NLO/dfvlVuPV+KmxRk9l2wqPVEslqxsvIDWvlnZHGPwXoIIIBApgik69kU30VKos/+6hLlqquuKpQh2X08Xc+Ovn37Bi0kbr311uDHx/hMaqAkPcMTJb7zJFJhXtQFCIBG/QySfwSyWMB/EVURr7zySvOj2foi69dM/wVaX0IPOeQQv6jQV30I2Hfffd06qp35wgsvBF+S9avuxRdfbBMnTky6j8svv9w0wrDSX//6VzcyvWpBKW3atMn1iae8+5GBzz333IR9xLkN+AcBBBCIoIBq0utLoA8eKlioGu933HGHvfrqq67PSf2I9dJLL7l75NFHHx3U2tQ2//73v4PAXLLiX3DBBTZmzJjg/qzA3xVXXBE0oT/uuOOsc+fOyTY3BVFPOeWUfE301Xep+h1VIFFfOm+55ZZ821933XXmB0g6++yz7YknnnD3da3ka5X26tXLfD9v+qGrcuX/damfrudWvXr1gnwqWKn+sNVSoaikJowXXXSRW001QPv06WPxg1Cp77dLLrkk+DFP/bn+8Y9/LGq3LEcAAQQyUiBdzybdO30zeN2DVTlDzd31uV+VKfS80JgEibpk8VCF3cfT8exQC4D77rvPHV5dh51xxhmuNqhmqDWBKmicdNJJhbYs4DuPP3u8ZovA/z6xZUuJKAcCCGSNgGoU6cuqRntX83Y1M1TgUf2tqc85P0iG+oDTl1T/waQogFq1atlTTz3lmterxpJqdA4aNMiaNGliixYtch8EDjjgAPchJlG/ouq37uGHHzZ9OVezQvWBd++997q+cpQvHwxVPvRFe+jQoUVlieUIIIBA5ATat29v6gpEATPdK3/++WdX67KwgqhJ3gMPPGANGzYsbDU3QN38+fPtwgsvdD+AaTAG/ajkm4Crxr9qghaW9t9/f1NNTv3g1apVK/dl1Q/2oKCl7t0FB3DS8+XBBx90XbBoJHT9+KYaRQokqh81f39XU0b9AFawtmS6nltHHHFEUNR//etfpj8FYkeOHBnMTzah59tXX31lEyZMcM0g9WOhnpsKFPhRgrWtupVRUNt385Jsf8xHAAEEMlkgHc8m/XB3zjnnuHukgp76YUk/oqmGvf9BTEFQ/VCW7L5c2H08Xc8OBTj17NTzUt3CaPBXPc/0fFMAV9+dzjvvPPe9JtE55TtPIhXmRVmAGqBRPnvkHYEcELjrrrvcF2rf9EQBxjlz5rjgZ926da1nz56uxmWHDh1KpKFgp2oW+f5x9KVWHxD0pVj7VK3Q+vXrJ92n+hJVU86zzjrLDYKkL+UKnvovx+o3R3l/5JFHgsFCku6MBQgggEBEBRQwVI35Z555xrp27ZqwFLqv6scg/Zilv6KCn9qJBkdSP5stW7Z099WFCxe64Kfuy6qRoj46i9qPmvWpxosCeqr16IOf+jFNy0499dSE+dUzQPd3jSisIKFqi6q2pe7vCnyqnOpD9LLLLku4fTqeW/rifPvtt7vApT+oTIqT9KOfmuyr1q0f8Ek//vng58477+xM1e+qvEkIIIBA1AXS8WxSCwfV/lSrMyV1saLgp75TXH311XbnnXcWWhmjqPt4Op4dyqday6l1g8+3fhBT8FM/hKlCR7JnobZV4jvPfx34NzsEKsS+tOdlR1EoBQIIZLOAflFVbUvVwFm9erW1a9fOWrRoEUqRly1bZvoiqV9xDzzwwKCvtZLsXINyqLaS+vdRvlRbqbg1UktyHNZFAAEEMllAQUI1fdef7oH68Up/CsIVlXRv94P2qKn7Nddc4zbRPVo/fOnLWps2bYKB7BLtT4MsPfTQQ26RgnzKgwalUHN45a1169ZBs/1E2xecp2ePgqf6gUzNF1VzRgHD4qR0Pbf0Q6D6m9NzJpXamurqRf1T61XnRibxzfiLUzbWQQABBKIkUJpnU6Jyqi9o/TCmZ5L/YSnResnmFXYfT9ezQzVXlWc9U1VLNpV8qzx850l2VpkfBQECoFE4S+QRAQQQQAABBBDIcoFkAdCSFDtRALQk27MuAggggAACCCCAQHYK0AQ+O88rpUIAAQQQQAABBBBAAAEEEEAAAQQQQACBmAABUC4DBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhaAQKgWXtqKRgCCCCAAAIIIIAAAggggAACCCCAAAIIVIYAAQQQQAABBBBAAIHyFtCARW3btnXZ2GmnnVLKjgYo8vtIaQdshAACCCCAAAIIIJCVAgyClJWnlUIhgAACCCCAAAIIIIAAAggggAACCCCAgARoAs91gAACCCCAAAIIIIAAAggggAACCCCAAAJZK0AANGtPLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKgXAMIIIAAAggggAACCCCAAAIIIIAAAgggkLUCBECz9tRSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMo1gAACCCCAAAIIIIAAAggggAACCCCAAAJZK0AANGtPLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKgXAMIIIAAAggggAACCCCAAAIIIIAAAgggkLUClbO2ZDlcsNWrV9tpp51WKoG8vDzbvn2720elSpVKta+y3Hjbtm1WsWJFq1ChQlkeNuVjKb9Kyq/yHYWka0N/Ucqvv5ajdm1EKb8y1nURtWtZ+Y7KPS7+vhzGtfHyyy+ndMt59dVX7Z577klpW78R14uXSN9r2NdL+nKaf8+6NnQficpz3F/LKkVU7iXKqz5/RC2/yneUnjG6NpSi8nkpzGv58MMPt+uvv96Vv6T/DB8+3N5///2SbpZv/Sh+vs7l6yXfyUvzG+59aQaO7V6fP/QXlXtfVD8v6VoO4/tA+q+I/x7BP2PCeI4PGjTIevbsmVLWCYCmxJbZG+k/w1dffWWdOnWyFi1apJTZTZs22datW9221atXj8SHZP2n2rBhg1WrVs0qV878S1s32/Xr1ztj3bxq1KiR0rkq6402b97sro2aNWuW9aFTOt6WLVtMeVaKyrWhvK5bt86qVq1qVapU0duMT7qWdU3roRa1a0P5jUKwRfdk3ZuVdF3o+kglLViwwGbNmpXKpm6bX3/91T1jTj311JSfDVwvKfMXe8OwrpdiHzCkFfUc1zNR9+soJOXXBy6ici/R58SNGze6zx1R+ILq86vrQZ/vonJtyFhJn6OjkOI/++szaarXxuTJk+2HH35IucjLli1zn4G6d++e0j64XlJiK/FG8ddL1L4rRiW/Uf2uqGtDz8UofbfV90WlqHxX9NdGrn1X1GfbUaNGmb6LpJoyP0qUasnYzk4++WT73e9+l5KEapH64FzDhg0j8WFTH3h+/PFHq1+/fiRuuLpx+Q+I+kDfuHHjlM5VWW+kG46+8O2yyy5lfeiUjrd27Vpbs2aN27ZevXqRCc7pC0CdOnWsdu3aKZW7rDdavny5+7CjQOKuu+5a1odP6XgKMut6Vn6jEADV/7tVq1a5suq60PWRSho5cmSpAqD+mNdee23KzwauF6+Yvtewrpf05TDxnvUc1xcQ3a+jkH766SfzX5z0XEw1aFSWZdWX019++cV97ojCD8b6EfPnn392RPpCrc95UUgyVtLn6CiklStXusC48rrTTjul/APsN998U+ri7rnnnjZ06NCU9sP1khJbiTfS5xE9Z5QaNWqU8o+yJT5wKTZQ8GTFihXu/2QUfkhREFGfl5T0w7f+X0YhKY6g58zOO+8chey674n6vqgUtThC3bp1rVatWpFwVtxD8Q99Tko1jqDrSgHQ0qRotLktTQnZFgEEEEAAAQQQQAABBBBAAAEEEEAAAQRyVoAAaM6eegqOAAIIIIAAAggggAACCCCAAAIIIIBA9gsQAM3+c0wJEUAAAQQQQAABBBBAAAEEEEAAAQQQyFkBAqA5e+opOAIIIIAAAggggAACCCCAAAIIIIAAAtkvQAA0+88xJUQAAQQQQAABBBBAAAEEEEAAAQQQQCBnBQiA5uypp+AIIIAAAggggAACCCCAAAIIIIAAAghkvwAB0Ow/x5QQAQQQQAABBBBAAAEEEEAAAQQQQACBnBUgAJqzp56CI4AAAggggAACCCCAAAIIIIAAAgggkP0CBECz/xxTQgQQQAABBBBAAAEEEEAAAQQQQAABBHJWgABozp56Co4AAggggAACCCCAAAIIIIAAAggggED2CxAAzf5zTAkRQAABBBBAAAEEEEAAAQQQQAABBBDIWQECoDl76ik4AggggAACCCCAAAIIIIAAAggggAAC2S9AADT7zzElRAABBBBAAAEEEEAAAQQQQAABBBBAIGcFCIDm7Kmn4AgggAACCCCAAAIIIIAAAggggAACCGS/AAHQ7D/HlBABBBBAAAEEEEAAAQQQQAABBBBAAIGcFSAAmrOnnoIjgAACCCCAAAIIIIAAAggggAACCCCQ/QIEQLP/HFNCBBBAAAEEEEAAAQQQQAABBBBAAAEEclaAAGjOnnoKjgACCCCAAAIIIIAAAggggAACCCCAQPYLEADN/nNMCRFAAAEEEEAAAQQQQAABBBBAAAEEEMhZAQKgOXvqKTgCCCCAAAIIIIAAAggggAACCCCAAALZL0AANPvPMSVEAAEEEEAAAQQQQAABBBBAAAEEEEAgZwUIgObsqafgCCCAAAIIIIAAAggggAACCCCAAAIIZL8AAdDsP8eUEAEEEEAAAQQQQAABBBBAAAEEEEAAgZwVIACas6eegiOAAAIIIIAAAggggAACCCCAAAIIIJD9AgRAs/8cU0IEEEAAAQQQQAABBBBAAAEEEEAAAQRyVoAAaM6eegqOAAIIIIAAAggggAACCCCAAAIIIIBA9gsQAM3+c0wJEUAAAQQQQAABBBBAAAEEEEAAAQQQyFkBAqA5e+opOAIIIIAAAggggAACCCCAAAIIIIAAAtkvQAA0+88xJUQAAQQQQAABBBBAAAEEEEAAAQQQQCBnBQiA5uypp+AIIIAAAggggAACCCCAAAIIIIAAAghkvwAB0Ow/x5QQAQQQQAABBBBAAAEEEEAAAQQQQACBnBUgAJqzp56CI4AAAggggAACCCCAAAIIIIAAAgggkP0CBECz/xxTQgQQQAABBBBAAAEEEEAAAQQQQAABBHJWgABozp56Co4AAggggAACCCCAAAIIIIAAAggggED2CxAAzf5zTAkRQAABBBBAAAEEEEAAAQQQQAABBBAoF4Ft27aVy3HjD1o5/k0uTW/atMnGjBljM2fOtJUrV1rr1q3tgAMOsN69e1ulSpVKTDF16lR7++237fvvv7ft27db8+bN7fDDD7cePXok3df8+fNt9OjRtnjxYqtVq5btu+++1q1bN9tjjz2SbsMCBBBAAAEEEEAAAQQQQAABBBBAAAEEoiCQl5dnW7ZssSpVqpRrdnMyALpq1Sq76KKL7LvvvnP4DRs2tFdeecX9vffeezZ06FCrWrVqsU6MAqlXXXWVzZ49261ft25d97pgwQJ7/fXXbfz48XbHHXdYjRo18u1Pwdd7773Xzatdu7Zt3rzZPvroIxs1apTddtttdtBBB+VbnzcIIIAAAggggAACCCCAAAIIIIAAAghESUDxLgVByzvlZBP4G2+80QU/Dz30UJs4caK9+OKL9uyzz9qee+5pb731lt13333FPi/333+/C362bNnSHnnkEXvppZfc38MPP2zNmjWzjz/+2EaMGJFvf3PmzHHHUJD15ptvtkmTJrng66WXXmobNmywK6+80n744Yd82/AGAQQQQAABBBBAAAEEEEAAAQQQQACBKAiodbSSAqCZkHIuADpv3jybMWOGq5F50003Wb169dx52G233eyuu+5yzd9ffvllW7NmTZHnZ/369a6GZ8WKFW348OHWtm3bYJt27dq54KZmKMiqdX164oknXPT7zDPPtKOOOsoqVKjgqgL369fPTj75ZFc1eNy4cX51XhFAAAEEEEAAAQQQQAABBBBAAAEEEIiMwN133+1iXGoB/euvv5Z7vkMPgD700EN22WWXmQKNxU2qkXnEEUfYrbfeWtxNUl5v2rRpbtsuXbpY9erV8+1HTeEPOeQQF51WELSopJqc6shVNT1btWq1w+qa17hxYxfs/Oqrr9xyBUIVgFXq1auXe43/x89T0HTr1q3xi5hGAAEEEEAAAQQQQAABBBBAAAEEEEAg4wXU2llxs8cff9zWrl1b7vkNPQCq5uTq2/Lrr78uduEUlHz//fdLFDQt9s4LrDh37lw3R83fEyUFQJU+/fTTRIvzzdO66uPz73//e775/o0CmKtXr3Zv69ev714///xzFxBV0LRp06Z+1eBVNUfr1Knjtvv222+D+UwggAACCCCAAAIIIIAAAggggAACCCCQ6QKfffaZGyRc+dRA34niX2VdhtADoCUpgGpPaiT0Tz75xG1Ws2bNkmye0rpLlixx2/mAZMGd+Pl+gKSCy+Pfq+l6gwYNrEmTJvGzg+nXXnvN1SZVM3s1sVcq6vhapyR50PokBBBAAAEEEEAAAQQQQAABBBBAAAEEMkEgvlV1p06dMiFLVqpR4I899libPHlyvoJoaHulPn36mPrGLCxpXd8pqtY7+OCDC1s9lGXr1q1z+/FBxoI79aO4+/UKLi/u+6VLl9oDDzzgVj///PNdP5964/eb7Phapzh50GBLyWqeqgapkmqfLl++3E2X9J/487Jy5cog/yXdT3msr3JnQv8SRZU9fhQ01RZO9VwVdZywlyvf+otSfr2Brovi9O/r1y/vVzUT8PeM8s5LUcf394woXhs//vhjUcXLiOXx9wxdG/F9S5ckg6W9P/pzrXtAtWrVSnLoYF2/D66XgCT0ibCul9AzVsQOdW1oQMiNGzcWsWZmLPbXsnKje4l+HI9K+vnnnyOR1fhrWdfGpk2bIpFvf21E5fOSz69wdW2kei1roIsqVaqkfI5UQUb7SNWN6yVl+hJtGH+9/PLLLylfLyU6aEgrr1q1KqQ9pXc38dey4iap/p9Iby533Lvyrb+o5Df+Wo5KHMGr63ttJjQr9/kp+KqYlU/q8lJJ3qleG/75H3/O/P6L+1qqAOidd95p++23nxu0p+ABfSC04Pxk7/fZZx878cQTky0OZb6g/AdqHyQsuOPatWu7WR634PLivNeHhssvv9x0c1Uz+eOPPz7YzH9hTXZ8rejz4PMabBw3oaDIsmXL4ub8b1IfDpV04ynNxeH36G9i/n2mv0Ytv94zjHPl91UWr1HLr0yidm1ELb/+uovatRG1/JbWWddVGEluYdiFsY8wylPcfUQtv75cUcp3VO99Uct3lK4Jfx3rNWr5jlp+ZVyaa7m0zxh/7LDcwtqPXMoiRS2/MvHnrCx8wjhGFI1V7qjlO2r5lXHUruVMzq9aevt41V577WW77LKLiF1K9dpIdTt/XL2WKgCq/ipVy/HDDz8M9qlqruq78re//a01b948mJ9oQr8O1qpVyw0gdMopp7jm5InWC2ueaqTWqFHD1SxIFuD086tWrZrSYVX2K6+80p3svffe240OH78jlVdJv2wmSz4PhdWsqVy5ctKaN4Vtl+yYzEcAAQQQQAABBBBAAAEEEEAAAQQQQKA0AlOnTg0297U/gxnlOFGqAKjy3b9/f/fny6Bm8QoCXnzxxabpTEs77bSTqX/PZM1g/XwfqCxJ/jVw0jXXXOP2reb8N910kwvwxu9Dx1cqrAlicfLQt29f01+ipGYIhx9+uOtLNFn/pIm2i5+n6t++tmrDhg2TBlvjtynvaTWZUfMzdS+gQHemJ/1i88MPP7hsKqDduHHjTM+yy5+uXdUyjv8VJ5MzrmYB/v+U+uMti76Gw/DQL2aqKe5rhIexz3TuQ00Z9Kucmsztuuuu6TxUaPtWTXpdz8pvqk39QstMMXak/3e+2Zaui8JaEhS2O/0/KE3y3dvo+ZLqD25cL6U5A8XbNqzrpXhHC28tPcd1XZX2Og0vR4Xv6aeffgpaQum56P9/FL5V+S7VD+36rKjPHfr8kelJlQZ8c319viusG6lMKouMlfQ5OgpJXV751mf6vpJqM3b9/y3NdeUreaT6HYbrpWyuNn0e8a0OGzVqZKlWHiqb3P73KOpybMWKFe7/ZKqfX8oyv/pc7ZsK6/+jjyOUZR5SOZbiCHrO7LzzzqlsXubb6Huib0YetTiCuk5MJW5VFshvv/12cJhjjjkmmNbnpFTjCL6iYGk+a4X+qeess84yRXjbtm0bFDKTJooKgPrApAY3KkmaMmWKC3iq6X+vXr1cIDTRw9/fuHxAJtExUs1Don0xDwEEEEAAAQQQQAABBBBAAAEEEEAAgXQLaJBzjYmjpLigKpv4IHO6j13U/kMPgJ522mlFHbNcl/tfIr766is77LDDdsiL5iu1b99+h2XJZkyYMMHuuOMOt/hPf/qTnXvuuclWDX4JUS1UBUsL/rqqX0z0i7Gi2q1bt066HxYggAACCCCAAAIIIIAAAggggAACCCCQKQLxo7936dIlU7Ll8hF6ADS+dGrGtGDBAteUWlXOi0pt2rRJe9Cve/fu9uqrr9obb7xhZ5xxRr4sqZq5anIqHXDAAfmWJXszffp0Nxq7mk9effXVRTb7b9q0qanvVHUK+8EHH1jnzp3z7Vp9Jagpt/oPjUpT3XwF4A0CCCCAAAIIIIAAAggggAACCCCAQM4JzJkzJyjzUUcdFUxnwkRaAqAKev7tb3+zcePGWXECnx5i6NChNmzYMP82La+q9dmyZUtbuHChKTKtwZp8euqpp1wfQy1atLBDDz3Uz3av7777rgvkagSrVq1auXnqg+Duu+92o4Wdd955RQY//Q5PP/10U1kfe+wx23///YN+3BQwfuaZZ9xq/fr186vzigACCCCAAAIIIIAAAggggAACCCCAQEYLKK725ptv2uzZs4MW0JmS4dADoOrb8vjjj7cvvvgiU8qYLx+qqalg5fXXX2+33HKLvf/++67WqaLUmlaT9MGDB+8wIMa9997rRnbXtj4AOmbMmKBvg//85z+mv2RJAyL52p6qBqwm9p9//rkNGDDAunbt6gLFqpWqTt47depk3bp1S7Yr5iOAAAIIIIAAAggggAACCCCAAAIIIJBRAmrRrEqH+su0FHoAdPjw4UHwU31YqrajCl6cUXZVu7IskqrhquamAqBqcq4/JeVz0KBBtt9++xUrG+rc1Sed5MKSmtf7VKlSJRsxYoTLw2uvvWaKkCtp/sknn2wXXHBBJEYR9eXhFQEEEEAAAQQQQAABBBBAAAEEEEAgtwU2bNiQsQChB0DfeecdV9gDDzzQ9bPZsGHDjCy88jd69GhX41IDEmlwJAVpNfhQojRq1KgdZvuBj3ZYUIwZ1apVcyPFX3nllbZo0SLXjL5Zs2ZWq1atYmzNKggggAACCCCAAAIIIIAAAggggAACCGSOwPr16zMnMwVyEmoAVLUgfa1IjYSeqcHPeINGjRqZ/sorVa5c2dq2bVteh+e4CCCAAAIIIIAAAggggAACCCCAAAIIlEpALZ8zuQZo4uqOKRZZTbh9DUbVsCQhgAACCCCAAAIIIIAAAggggAACCCCAQHYLZHLtT8mHGgDVDg8//HC92DfffONe+QcBBBBAAAEEEEAAAQQQQAABBBBAAAEEslcg5wKgfvTyRx55JHvPKiVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAVOXmBs3bsxoidBrgA4cOND69u1r06ZNs0svvdTWrFmT0QBkDgEEEEAAAQQQQAABBBBAAAEEEEAAAQRSE1Dtz7y8vNQ2LqOtQh0ESXmeO3eunXfeeTZjxgwbMWKEPfvss9ahQwdr0aKFNW7cuNBiqfZo165dC12HhQgggAACCCCAAAIIIIAAAggggAACCCCQGQKZ3vxdSqEHQIcMGWKTJk0KzsCKFSvslVdeCd4XNqER0QmAFibEMgQQQAABBBBAAAEEEEAAAQQQQAABBMpf4M0333QVHitWDL2BeeiFCz0AGnoO2SECCCCAAAIIIIAAAggggAACCCCAAAIIZIzA1q1bbfDgwbZq1Srbe++97c4777RKlSplTP4KZiT0AOhzzz1nQkglVa9ePZXN2AYBBBBAAAEEEEAAAQQQQAABBBBAAAEEykjg3XffdcFPHa5GjRoZHfxUHkMPgNauXVv7JSGAAAIIIIAAAggggAACCCCAAAIIIIBAFgrEd3959NFHZ3wJy7SR/rp162zt2rUZj0IGEUAAAQQQQAABBBBAAAEEEEAAAQQQQGBHgc2bN9sbb7zhFmg8n06dOu24UobNSWsAVAMgXXnlldalSxdr2rSpqXbo0KFDHcHXX39tRx55pI0ZM8a2b9+eYSxkBwEEEEAAAQQQQAABBBBAAAEEEEAAAQQKCrz11ltBBceDDz7YxfsKrpNp70NvAq8C5uXl2b333ms33HBD0B9AwYJ/88039s4777i/M844wx5//HGrUqVKwdV4jwACCCCAAAIIIIAAAggggAACCCCAAAIZIhDf/F2VHqOQ0lID9J577rFBgwa54Keqwh544IG211575fPQQEk+4Pn000/bhRdemG85bxBAAAEEEEAAAQQQQAABBBBAAAEEEEAgcwQ2btxoU6ZMcRmqWrWqHXHEEZmTuUJyEnoAdM6cOTZkyBB3yGOPPdYWLVpkH330kWk6PvXo0cMtUzN4JdUAXbBgQfwqTCOAAAIIIIAAAggggAACCCCAAAIIIIBAhghMnTrVNmzY4HJzyCGHuBHgMyRrhWYj9ADo3XffbZs2bXK1PkePHm3NmzdPmoFmzZrZq6++ag0bNrRt27bZo48+mnRdFiCAAAIIIIAAAggggAACCCCAAAIIIIBA+QnEN3+PwujvXir0AOjHH3/s9q1aoDVq1PDHSfqqdXzt0IULFyZdjwUIIIAAAggggAACCCCAAAIIIIAAAgggUD4Ca9eutWnTprmDV69e3Q499NDyyUgKRw01AKpanHPnznXZ6NChQ7Gz07t3b7fut99+W+xtWBEBBBBAAAEEEEAAAQQQQAABBBBAAAEEykZgy5Ytds4559iuu+5qhx12mFWrVq1sDhzCUUIdBb5SpUpWu3Zt++WXX2z16tXFzt6KFSvcuk2bNi32NqyIAAIIIIAAAggggAACCCCAAAIIIIAAAmUj0KBBA7v00kutX79+tn79+rI5aEhHCbUGqPK0//77u6xNnjy52FlUP6BK++yzT7G3YUUEEEAAAQQQQAABBBBAAAEEEEAAAQQQKDuBdevWuYPVrFmz7A4awpFCD4D69v/Dhw+3L7/8ssgsPvbYY/byyy+79UrSbL7IHbMCAggggAACCCCAAAIIIIAAAggggAACCIQmELWan77goQdAr776atPo7mvWrLGDDz7YHnzwQVu+fLk/XvC6ePFiGzBggPXv39/N69y5s/Xt2zdYzgQCCCCAAAIIIIAAAggggAACCCCAAAIIZIbApk2bbOvWrZmRmRLmIvQAaP369e2JJ56wihUrun5AL7zwQtc5qgKhSs8884w1btzYWrZsaY8++qjl5eWZqs2qJqi2ISGAAAIIIIAAAggggAACCCCAAAIIIIBAZgn45u+Zlavi5SYtEceuXbva9OnT3YhQPhuKEistW7bMfvrpJz/bunfvbjNnzrS99tormMcEAggggAACCCCAAAIIIIAAAggggAACCGSOQFSbv0sw1FHg409Jx44d7b333rMxY8a414ULF5r+VOOzTZs21rp1a1Og9Pjjj4/fjGkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCCBjRs32rZt2zIoRyXLStoCoMpGhQoVrF+/fu6vZNlibQQQQAABBBBAAAEEEEAAAQQQQAABBBDIBIEo1/6UX1qawGfCiSEPCCCAAAIIIIAAAggggAACCCCAAAIIIFB6AQKgpTdkDwgggAACCCCAAAIIIIAAAggggAACCCCQgQIbNmyIdPN3kaatCfzSpUvt3XfftUWLFtnPP/9crNPXs2dP69GjR7HWZSUEEEAAAQQQQAABBBBAAAEEEEAAAQQQSI/A4sWLbeDAgdatWzfr1KmT7bzzzuk5UBnsNS0B0FtuucVuvvlmK2n12Fq1ahEALYOTziEQQAABBBBAAAEEEEAAAQQQQAABBBAoTGDixIm2YMEC97dy5Uo799xzC1s9o5eFHgAdO3asXXvttRldaDKHAAIIIIAAAggggAACCCCAAAIIIIAAAskFFAD1qWvXrn4ykq+hB0Bvv/12B1GpUiW79dZb7bTTTrNGjRpZlSpVigTSNiQEEEAAAQQQQAABBBBAAAEEEEAAAQQQKD+B+fPn21dffeUy0LJlS2vVqlX5ZSaEI4ceAP38889dtgYPHmxXXXVVCFlkFwgggAACCCCAAAIIIIAAAggggAACCCBQVgLZVPtTZhXDhNu2bVuwOwYzCiiYQAABBBBAAAEEEEAAAQQQQAABBBBAIBICeXl59tJLLwV5Pfroo4PpqE6EGgBVE/YjjzzSWahzVBICCCCAAAIIIIAAAggggAACCCCAAAIIREdg9uzZtnTpUpfhdu3aWZMmTaKT+SQ5DTUAqmP07NnTHWrUqFFJDslsBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhEgWxr/i7j0AOgAwcOtJNOOsmee+45Gz58uG3atCkTzyV5QgABBBBAAAEEEEAAAQQQQAABBBBAAIE4AXVv+corr7g5FSpUsKOOOipuaXQnQx8ESc3gn3nmGfvd735nQ4cOtYceesgOPPBAa9GihVWvXr1QKdUe9TVIC12RhQgggAACCCCAAAIIIIAAAggggAACCCAQqsD06dPt559/dvvcb7/9rFGjRqHuv7x2FnoAVAV5/fXXbdasWa5MS5YsMf0VJ9WuXZsAaHGgWAcBBBBAAAEEEEAAAQQQQAABBBBAAIGQBd5///1gj127dg2moz4RegD0hRdecE3gNWIUCQEEEEAAAQQQQAABBBBAAAEEEEAAAQSiIXDllVe6Zu8TJkywzp07RyPTxchl6AHQ559/3hT8VHN39QF64oknutGiqlSpUmR2KlcOPTtFHpMVEEAAAQQQQAABBBBAAAEEEEAAAQQQQOC/As2aNbMBAwZkFUfoEcdp06Y5oGHDhtlVV12VVVgUBgEEEEAAAQQQQAABBBBAAAEEEEAAgWwV2LJli23evDnrihfqKPDbt2+3VatWOaROnTplHRYFQgABBBBAAAEEEEAAAQQQQAABBBBAIFsF1q9fn5VFCzUAWrFixaB/gHnz5mUlGIVCAAEEEEAAAQQQQAABBBBAAAEEEEAgGwXWrVuXjcWyUAOgEurevbuD0mBIJAQQQAABBBBAAAEEEEAAAQQQQAABBBDIfAE1fVcT+GxMoQdABw4c6IKgr7zyip1yyimWrZHjbLwYKBMCCCCAAAIIIIAAAggggAACCCCAQG4KZHMML/RBkL788ku74oorbO7cuTZ69GjToEjqD3T33Xe3unXrmprJJ0vdunWzrl27JlvMfAQQQAABBBBAAAEEEEAAAQQQQAABBBBIg0C29v8pqtADoIMHD7ZJkyYFp2HFihU2bty44H1hE5UrVyYAWhgQyxBAAAEEEEAAAQQQQAABBBBAAAEEEAhZYOPGjbZ169aQ95o5u0teHTNz8khOEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBNAtnc/F1kodcAfe6551KOGFevXj1Np5HdIoAAAggggAACCCCAAAIIIIAAAggggEC8wMyZM61hw4ZWpUqV+NlZNx16ALR27dpZh0SBEEAAAQQQQAABBBBAAAEEEEAAAQQQyDaBG264wb744gtr3bq13XbbbVanTp1sK6IrD03gs/K0UigEEEAAAQQQQAABBBBAAAEEEEAAAQSSCyxYsMAFP7WG+gDN1uCnyhd6DVDt1Kcff/zRhKlRpIrTkWqbNm1cxNlvzysCCCCAAAIIIIAAAggggAACCCCAAAIIhC8wYcKEYKfdunULprNxIi0BUAU9//a3v7nR34sT+PSwQ4cOtWHDhvm3vCKAAAIIIIAAAggggAACCCCAAAIIIIBAyAJ5eXk2ceLEYK8EQAOK4k2sWbPGjj/++KAKbfG2Yi0EEEAAAQQQQAABBBBAAAEEEEAAAQQQKAuBWbNm2bJly9yh2rVrZ02aNCmLw5bbMUKvATp8+PAg+KkOVE8//XRr2bKl7brrrlahQoVCC7rXXnsVupyFCCCAAAIIIIAAAggggAACCCCAAAIIIFA6gVxq/i6p0AOg77zzjjsDBx54oL3xxhvWsGHD0p0RtkYAAQQQQAABBBBAAAEEEEAAAQQQQACBUAS2bNlir7zyittXxYoVrUs9ndFZAABAAElEQVSXLqHsN5N3Euoo8Nu2bbNPPvnElffcc88l+JnJZ568IYAAAggggAACCCCAAAIIIIAAAgjknIAqL65atcqVWxUYGzRokPUGoQZAK1WqZLVq1QoAs16PAiKAAAIIIIAAAggggAACCCCAAAIIIBAhgfHjxwe57d69ezCdzROhBkAFdfjhhzuvb775xr3yDwIIIIAAAggggAACCCCAAAIIIIAAAgiUv8C6detsypQpLiNVq1a1Tp06lX+myiAHoQdAu3Xr5rL9yCOPlEH2OQQCCCCAAAIIIIAAAggggAACCCCAAAIIFEdA3Vf279/fmjZt6iox1qhRozibRX6d0AOgAwcOtL59+9q0adPs0ksvtTVr1kQeiQIggAACCCCAAAIIIIAAAggggAACCCAQdYG6devan//8Z3v88cdt0KBBUS9OsfMf+ijwc+fOtfPOO89mzJhhI0aMsGeffdY6dOhgLVq0sMaNGxeaMdUe7dq1a6HrsBABBBBAAAEEEEAAAQQQQAABBBBAAAEEUhNQM3ilmjVrpraDCG4VegB0yJAhNmnSpIBixYoV9sorrwTvC5uoXLkyAdDCgFiGAAIIIIAAAggggAACCCCAAAIIIIBAKQR8ALQUu4jcpqE3gY+cABlGAAEEEEAAAQQQQAABBBBAAAEEEEAgBwQ2bNhg6gc011LoNUCfe+4527p1a0qO1atXT2k7NkIAAQQQQAABBBBAAAEEEEAAAQQQQACBwgXWr19f+ApZujT0AGjt2rWzlIpiIYAAAggggAACCCCAAAIIIIAAAgggEE2BvLw8y9UAKE3go3nNkmsEEEAAAQQQQAABBBBAAAEEEEAAAQSKLaDm79u3by/2+tm0Yug1QN98801bsmRJiYwqVapkdevWtXr16tkuu+xie+65Z4m2Z2UEEEAAAQQQQAABBBBAAAEEEEAAAQQQSC6Qi4MfeY3QA6B33HFHvlHg/YFK8rr77rvbySefbDfddJPVqlWrJJuyLgIIIIAAAggggAACCCCAAAIIIIAAAgjECWjgI9UAzdWUkU3gv//+e7vnnnusQ4cOtnLlylw9N5QbAQQQQAABBBBAAAEEEEAAAQQQQACBlAXU76eS+v700ynvLMIbhl4D9MUXX3Q1QPv06eP6FejcubNdfPHFrll78+bN7ddff7XFixfbu+++64Kcq1atsjZt2tjdd99tmzdvtu+++87uvfdeW7RokS1YsMDOP/98Gz16dISJyy/r8ky1c9utW7cGGd+0aZPpl4JMT74fC5U7Cv+p4/OovKd6rsr6vGzZssX5Rim/3kjXRpSSrKPi7K9nvUYlz/56UH4rVKiQ8ZeGz68yWpprI34/qRTan2u5pfps8PvgeknlDBRvG10jPpXmevH7KKtXXRP6DBKV+4j/7CEf5blixYysW5Dv9PlrQzVA1A1Vpqf4z6RRujb8/TEq17LPr66HjRs3uudMKteG/k/E/78o6T789qm6cb2UVDy19eOddb3Ev09tj+nfyl/jyq+fTv9RUz9C/P8jTaf6fyL1HKS2pa6FKH2+889ElVafkf1n1NRKXzZb+Twqv8X9DvP222/bXXfdZUcffbT7a9y4cdlktsBRSnNtKC6l5MtfYNfFeht6AFSBy7PPPts9+B599FE799xz82VEfXy2bt3ajjnmGPvLX/5iPXv2tA8//NA+/vhj++tf/+rW7d+/vw0ePNjuv/9+Gzt2rH3zzTfWsmXLfPvhTXIBf0HoJrl69erkKxZzSdT6iIjKwyGeXw+1MM5V/D7TPR21/MpDX/aiVOVfH9D0F7UUtWtDP8xFLekDgP8QUNK8l/b/gH/G6DxXq1atpIffYX2ulx1IQp9Rmusl9MwUY4f6QF/aQH0xDhP6KmvWrAl9n+nc4dq1a9O5+7TsW19Uo3bPiFp+deJKc23oHJXm2aDPxGGd57D2k5aLOclOo3i98F0xyckMcbYCtlG7NqKWX52uqMURSvJdURUVFVd7/PHHrU6dOta1a9cQr9Di70rfI1K9Nvx3H/9dpPhH/d+aoQdAb7/9dlegP//5zzsEP/932P9O1a9f30aNGmVt27a16667zi644AJr1KiR1axZ00aMGGGTJ0+2+fPn2wsvvGCDBg0quDnvkwj4XwH8oFJJVit0tgIC/ktygwYNrGrVqoWunwkL9WD46aef3GBa1atXz4QsFZoH/cf98ccf3TqVK1d2136hG2TIQn3B0822vH41KimDPpT5D/IabK1GjRol3UW5rL98+XKrXbt2ZPpBXrFihfvhS/efnXfeuVzMSnpQfcjR9az8+vtmSfdRluvr/53/wKD+sXV9pJL0oac0yddw0w+aqX7J5XopzRko3rZhXS/FO1p4a+k5rs8cul9HIf3yyy9BTTk9F/3/j0zOu75AqAWWPnPr80emJwWx5Kykz3f6fBuF5Lvx0ufoKCQ9X3TfUGrYsKFVqVIlpWzruVCamsW6JrUPPWNSSVwvqaiVfJuwrpeSHzn1LVQz8eeffzbFIFL9/JL60Uu+pX4M0OclJf1/1P/LKCTFEfQj5k477RSF7LrviT6Ir+dLlOII+kyv2FlRSeVTC2wlfcbq1q1bsbYrar8lWe6N9Tkp1TiCD4CW5ntb6J963n//fedw6qmnFstDNTsPOOAAmzFjhvv77W9/67ZTobp37+4CoIpUk0ouIMNUP4jHX1Sl2U/Jc536Fv6XgKjl15c41XPlty+rV39tRC2/8onKteHPZdTy6/MdtWtD+fXXtS9DJr7G57E010ZY50f7CWNfYeyjLM6X91d+/XRZHDfVY8TnsTTXS6rHL812UcuvL2tY/yf8/tL16v/PRSW/Ub2Wfb69d7rOZzr2W9prw5e9NHlL1S3+2JpOdT+lyXsq2/p8Ry2/KmtUnL2tXv10KueqvLaJSp65ltN/hZQ07qGKhf4HriOOOKLcK9ikei377fw1lop0qB0V6VcV9duptNtuuxU7P7620Oeff55vG/0yraTaACQEEEAAAQQQQAABBBBAAAEEEEAAAQQQKJ6Amr/7pEqGuZxCDYCqyYKv6qx+PYubZs2a5VZt165dvk2mT5/u3u+666755vMGAQQQQAABBBBAAAEEEEAAAQQQQAABBBILqMs930pbTfwPPvjgxCvmyNxQA6Ay69Chg6O7/vrrXf9CRTn+/e9/t2XLlrnV/LZ6oyq6GqlKqSUDIDkH/kEAAQQQQAABBBBAAAEEEEAAAQQQQKAogYkTJwajpnfp0qVUfTQXdawoLA89AOoHK9Jo8Opc9Y033kjooA59r7766mDk9169egWdXc+bN89OO+00NwiPOtE+9thjE+6DmQgggAACCCCAAAIIIIAAAggggAACCCCQX2D8+PHBjFxv/i6I0AdB6tmzp11yySX2z3/+02bPnm09evSwVq1a2R577GG77767G8Xxu+++c32F+lHGW7dubc8880xwYjp16hTUHtVgStqWhAACCCCAAAIIIIAAAggggAACCCCAAAKFCyxcuND8ODtNmza19u3bF75BDiwNPQAqs/vuu8/1BXrbbbe5puxff/216S9R6t27twuWNmjQwC1WzdBVq1a56T59+ti///3vRJsxDwEEEEAAAQQQQAABBBBAAAEEEEAAAQQKCMTX/jzmmGMKLM3Nt2kJgGpY+qFDh9qf/vQne/nll02DHH300Uf22WefWZUqVUw1PjXg0UUXXWSdO3fOJ79lyxZ74IEHbN9997UjjjjCSjPEfb4d8wYBBBBAAAEEEEAAAQQQQAABBBBAAIEsF/jiiy+CEqp7SlIamsDHozZv3twuuOCCYNa2bduK7HRVVXP//Oc/B9swgQACCCCAAAIIIIAAAggggAACCCCAAALFE1Br6unTp9uMGTNMcTaSWeiDIBWGqgGNSAgggAACCCCAAAIIIIAAAggggAACCCCQHoGtW7dakyZN7IQTTkjPASK41zINgEbQhywjgAACCCCAAAIIIIAAAggggAACCCAQGYH169dHJq9lldGU+wCdMmWKvfHGGy6fvXr1si5durjpJ554wo3wnkoBunfvbvojIYAAAggggAACCCCAAAIIIIAAAggggEDJBdatW1fyjbJ8i5QDoG+//bbdeuutjqdevXpBAHTUqFE2adKklNiqVatGADQlOTZCAAEEEEAAAQQQQAABBBBAAAEEEMh1gc2bN5v+SPkFaAKf34N3CCCAAAIIIIAAAggggAACCCCAAAIIRFKA2p+JT1vKNUCHDBlil19+uduram76NGbMGFNnq6mk+P2ksj3bIIAAAggggAACCCCAAAIIIIAAAgggkIsCeXl5RgA08ZlPOQBatWpV01/BVKNGjYKzeI8AAggggAACCCCAAAIIIIAAAggggAACaRTYuHGjbdu2LY1HiO6uaQIf3XNHzhFAAAEEEEAAAQQQQAABBBBAAAEEEHAC1P5MfiGkXAM0+S6LXrJkyRJ79dVXTVVzjzvuONt5552L3og1EEAAAQQQQAABBBBAAAEEEEAAAQQQQGAHge3bt9v69et3mM+M/wqkpQao+gAdN26cnXDCCTZlypR81sOGDbPdd9/d+vfvbwMGDLAmTZrY2Wef7YKh+VbkDQIIIIAAAggggAACCCCAAAIIIIAAAggkFVDg85///KfNmTOH2FpSJbO0BEA1QFKfPn1s/PjxtmDBguDwEydOtOHDhwfvNaET9eSTT9oNN9yQbz5vEEAAAQQQQAABBBBAAAEEEEAAAQQQQCC5wAcffGAjRoywU045xe66667kK+b4ktADoG+++WYAXrlyZatZs2ZAfNNNN7lodKVKlWzQoEE2a9Ysu+SSS9xyBUb1noQAAggggAACCCCAAAIIIIAAAggggAACRQuoBbZPbdq08ZO8FhAIvQ/QRx991NXq3GeffWzs2LHm8RcvXmyKSiv17ds3CJIedNBB9vnnn9vkyZPtnXfesQ4dOhTIIm8RQAABBBBAAAEEEEAAAQQQQAABBBBAIF5gw4YN9tprr7lZVapUsS5dusQvZjpOIPQaoPPmzXO7P+ecc4Lgp2ZMmjQpOOxJJ50UTGuiX79+7v1HH32Ubz5vEEAAAQQQQAABBBBAAAEEEEAAAQQQQGBHAQU//cBHhx12mNWpU2fHlZjjBEINgGpU9/nz57sd9+rVKx/xyy+/7N6r+XvPnj3zLdNASEpz587NN583CCCAAAIIIIAAAggggAACCCCAAAIIILCjwIsvvhjMPOaYY4JpJnYUCDUAqgGNNm/e7I4SH3XWvKlTp7r5HTt2tAYNGuTLyY8//uje169fP9983iCAAAIIIIAAAggggAACCCCAAAIIIIBAfoHly5fbe++952bWq1fPFG8jJRcINQCq2p0tWrRwR/M1QfVGAyOtXbvWzS9YM1Qz1f+nUvPmzd0r/yCAAAIIIIAAAggggAACCCCAAAIIIIBAYoEJEya4gca19OijjzYNRE5KLhBqAFSHUZ8DSsOGDbNFixa5vgiGDBni5umfU045JZjeuHGjGwzpueeec/M6d+4cLGMCAQQQQAABBBBAAAEEEEAAAQQQQAABBHYUiB/9vUePHjuuwJx8AqGHhwcNGmQjR450I763b9/eqlWrFtT+7N27t+29994uA++++64Lhi5dutS9b9asmZ155pn5MscbBBBAAAEEEEAAAQQQQAABBBBAAAEEEPifgFpdL1y40M1QPK1Nmzb/W8hUQoHQa4AedNBB9vjjj1uVKlVsy5YtQfDzN7/5jT377LNBJlavXm0++Nm4cWO3rGrVqsFyJhBAAAEEEEAAAQQQQAABBBBAAAEEEEAgv8DEiRODGdT+DCgKnQi9BqiOds4551iHDh1s0qRJ9vXXX7u+CFT7U52y+tSuXTvbZZdd7KSTTrLBgwcHfYf65bwigAACCCCAAAIIIIAAAggggAACCCCAQH6BM844w+rWrWsvvfSSdevWLf9C3iUUSEsAVEfaZ5993F/Co8ZmtmrVytUArVgx9EqoyQ7JfAQQQAABBBBAAAEEEEAAAQQQQAABBCIt0LRpUzv99NOtb9++kS5HWWY+bQHQwgqxZMkSe/XVV91oVccdd5ztvPPOha3OMgQQQAABBBBAAAEEEEAAAQQQQAABBBCICWzdutU2bdqERQkE0lL9UidCo1GdcMIJNmXKlHzZ0ejwu+++u/Xv398GDBhgTZo0sbPPPtsFQ/OtyBsEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCewYcOGfO95U7RAWgKgQ4YMsT59+tj48eNtwYIFQS7USevw4cOD95rYvn27Pfnkk3bDDTfkm88bBBBAAAEEEEAAAQQQQAABBBBAAAEEEPifQF5enhEA/Z9HcadCD4C++eabdtddd7njV65c2WrWrBnk5aabbnI1PStVqmSDBg2yWbNm2SWXXOKWKzCq9yQEEEAAAQQQQAABBBBAAAEEEEAAAQQQ2FFAra63bdu24wLmFCoQeh+gjz76qKvVqUGQxo4da23atHEZWLx4sX3wwQduWp20+iDpQQcdZJ9//rlNnjzZ3nnnHTd6fKE5ZiECCCCAAAIIIIAAAggggAACCCCAAAI5KLB58+YcLHXpixx6DdB58+a5XJ1zzjlB8FMzJk2aFOT2pJNOCqY10a9fP/f+o48+yjefNwgggAACCCCAAAIIIIAAAggggAACCCBgrlU1AdDUroRQA6Dqh2D+/PkuJ7169cqXo5dfftm9V/P3nj175lumgZCU5s6dm28+bxBAAAEEEEAAAQQQQAABBBBAAAEEEEDAbN26dQwinuKFEGoAVAMa+Uh0nTp1gixp3tSpU937jh07WoMGDYJlmvjxxx/d+/r16+ebzxsEEEAAAQQQQAABBBBAAAEEEEAAAQQQ+G8AFIfUBEINgKp2Z4sWLVxOfE1QvdHASGvXrnXzC9YM1Uz1/6nUvHlz98o/CCCAAAIIIIAAAggggAACCCCAAAIIIGD2zTffmAY/2rRpExwpCoQaAFUeDjvsMJeVYcOG2aJFi2z9+vU2ZMiQIHunnHJKML1x40Y3GNJzzz3n5nXu3DlYxgQCCCCAAAIIIIAAAggggAACCCCAAAK5LKAKhSeccIKpQuGYMWNymaJUZQ89ADpo0CCXIY343r59e9tll11s1qxZbl7v3r1t7733dtPvvvuu7bnnnnbFFVe4/guaNWtmZ555ZqkKw8YIIIAAAggggAACCCCAAAIIIIAAAghki4DG1FEFwu+//94WLlyYLcUq83KEHgA96KCD7PHHH7cqVarYli1bgqbvv/nNb+zZZ58NCrh69WpbunSpe9+4cWO3rGrVqsFyJhBAAAEEEEAAAQQQQAABBBBAAAEEEMhlgRdeeCEofo8ePYJpJkomULlkqxdv7XPOOcc6dOhgkyZNsq+//tqOPvpoU+3PevXqBTto166dqx160kkn2eDBg4O+Q4MVmEAAAQQQQAABBBBAAAEEEEAAAQQQQCBHBb799tugVXWjRo1MlQ7V1SSp5AJpCYAqG/vss4/7S5alVq1auRqgFSuGXgk12SGZjwACCCCAAAIIIIAAAggggAACCCCAQCQExo0bF+TzmGOOMWJoAUeJJ9IWAC0qJxUqVDD9kRBAAAEEEEAAAQQQQAABBBBAAAEEEEDgfwJ5eXkWHwCl+fv/bFKZyqjqlzq5JAQQQAABBBBAAAEEEEAAAQQQQAABBHJZYMaMGbZkyRJHoG4kmzdvnsscpS57WmuAfvPNN/bDDz/Y5s2bbfv27UFmFejcunWrbdu2zdatW2fLly+3l156yY444gi79tprg/WYQAABBBBAAAEEEEAAAQQQQAABBBBAINcEnn/++aDI1P4MKFKeSEsAdPr06XbNNdfYm2++WaKMdezYsUTrszICCCCAAAIIIIAAAggggAACCCCAAALZJKCBjl577TVXpCpVqrjBxbOpfOVRltADoCtXrrQ+ffq4mp8lKVDTpk1NVXpJCCCAAAIIIIAAAggggAACCCCAAAII5KrAq6++Goz2fvjhh1udOnVylSK0coceAL3llluC4Gf37t3t+OOPtxo1atj5559v1apVs0ceecQ1e1+8eLGNGjXKFi1aZHvssYfNnz/fFNUmIYAAAggggAACCCCAAAIIIIAAAgggkKsCdevWtb333tvmzZtnPXv2zFWGUMsdegB01qxZLoM6QYpY+3T77be7YGebNm3skEMOcbMHDx5svXv3tg8++MDuvPNO12zer88rAggggAACCCCAAAIIIIAAAggggAACuSagCoUHHHCAffbZZ9asWbNcK35ayhv6KPALFy50Gf3LX/6SL8Oqsqs0derUYH79+vXtjTfesD333NOGDx9uX3/9dbCMCQQQQAABBBBAAAEEEEAAAQQQQAABBHJNQAOJqx/Qli1bWqVKlXKt+Gkpb6gB0C1bttiSJUtcRlu3bp0vw23btnXvP/3003zza9eubb/97W9tw4YN9sILL+RbxhsEEEAAAQQQQAABBBBAAAEEEEAAAQRySUAxMgVBSeEJhBoAVR+ejRo1crmrXDl/6/pkAVCt3KVLF7fNnDlz3Cv/IIAAAggggAACCCCAAAIIIIAAAgggkIsC69aty8Vip7XMoQZAlVM/knvB5uzt27d3BdFgR5s3b85XqJo1a7r3c+fOzTefNwgggAACCCCAAAIIIIAAAggggAACCOSKwNatW23jxo25UtwyK2faAqAPPvhgvkKoBqhqhepEvvXWW/mWTZw40b2vU6dOvvm8QQABBBBAAAEEEEAAAQQQQAABBBBAIFcE1q5da3l5eblS3DIrZ+gB0LPOOssqVKhgo0ePtpNPPtlmzpzpCqPm8Z06dXLTF110kS1dutSd0AkTJtiYMWPc/L322qvMCs6BEEAAAQQQQAABBBBAAAEEEEAAAQQQyBQBBT5p/p6esxF6APSoo46ygQMHutyOHTvWjj/++CDnl19+uZvWSPHNmjWzJk2auOUrVqxw8xU8JSGAAAIIIIAAAggggAACCCCAAAIIIJBrAps2bXItp3Ot3GVR3tADoMr0rbfeapdccolphPc999wzKMdxxx1nF198sXuv0ayWL18eLDvvvPOsc+fOwXsmEEAAAQQQQAABBBBAAAEEEEAAAQQQyBUBNX8npUcg/1DtIR1DgxqNGDHCbr75Zvv444+Dvapp/D//+U/r0KGDjRs3zmbPnm1q9n7GGWfYgAEDgvWYQAABBBBAAAEEEEAAAQQQQAABBBBAIFcEVFFww4YNuVLcMi9nWgKgvhR169Y1NYkvmP70pz+Z/kgIIIAAAggggAACCCCAAAIIIIAAAgjkqoAGC+/bt6917NjRxdBatmyZqxRpLXdamsCnNcfsHAEEEEAAAQQQQAABBBBAAAEEEEAAgSwQePvtt23BggU2cuRIu//++7OgRJlZBAKgmXleyBUCCCCAAAIIIIAAAggggAACCCCAQJYLjBkzJihhr169gmkmwhUgABquJ3tDAAEEEEAAAQQQQAABBBBAAAEEEECgSIFffvnFpk2b5tbTeDoMDl4kWcorEABNmY4NEUAAAQQQQAABBBBAAAEEEEAAAQQQSE1g/Pjxpj5Albp06WLVq1dPbUdsVaQAAdAiiVgBAQQQQAABBBBAAAEEEEAAAQQQQACBcAXGjh0b7JDm7wFFWiYIgKaFlZ0igAACCCCAAAIIIIAAAggggAACCCCQWOCzzz6zL774wi1s1qyZ7b333olXZG4oAqEHQDdu3Gjbt28PJXPsBAEEEEAAAQQQQAABBBBAAAEEEEAAgWwTeP7554Mi9ezZM5hmIj0CoQdAhw4dai1atLAhQ4bY+vXr05Nr9ooAAggggAACCCCAAAIIIIAAAggggEAEBTZv3mwTJkxwOa9YsaIdc8wxESxFtLIcegB05MiR9v3339vDDz9s1apVi5YGuUUAAQQQQAABBBBAAAEEEEAAAQQQQCCNAq+//rr9+uuv7ggdO3a0Ro0apfFo7FoCoQZAt23bZitWrHCynTt3tkqVKqGMAAIIIIAAAggggAACCCCAAAIIIIAAAv9fYOHChVahQgX3jsGPyuayqBzmYRTwPOqoo2zy5Mk2Y8YM1xeoqvJmYtq0aZONGTPGZs6caStXrrTWrVvbAQccYL179y514Pall16y//u//7Nhw4ZZ+/btExZ/6tSp9umnnyZcppk77bST/eEPf0i6nAUIIIAAAggggAACCCCAAAIIIIAAAtETuOyyy0yBz/Hjx9thhx0WvQJEMMehBkBV/ptuusk+/PBDW7ZsmQ0YMMDuueceq1u3bkbRrFq1yi666CL77rvvXL4aNmxor7zyivt77733TP2YVq1aNaU8z5kzx/7xj3/Y1q1bTUHWZOnFF1+0WbNmJVtse+yxBwHQpDosQAABBBBAAAEEEEAAAQQQQAABBKIpoMHDa9eubaeddlo0CxDBXIceAK1fv749+OCDNnjwYHvsscfshRdecLUgVcOyZcuWhQYWVXv0yCOPTDvjjTfe6IKfhx56qF133XVWr149W7JkiV177bX21ltv2X333WdXXnllifMxe/ZsFzxV8LOopOrOSpdeemnCvlLr1KlT1C5YjgACCCCAAAIIIIAAAggggAACCCAQMYENGza4VtMRy3aksxt6APSKK66wSZMmBSiqbfn++++7v2Bmkgk1GU93AHTevHmueX6NGjVcbdXq1au73Oy222521113Wd++fe3ll1+2Cy64wIobhNRo9//6179MtTqV1Oxf0fxk6ccff3Sd3aqT2379+iVbjfkIIIAAAggggAACCCCAAAIIIIAAAlkmsGbNmiwrUeYXJzM76Eyj27Rp09zeu3TpYj746Q+npvCHHHKIbd682QVB/fyiXtXUX8HPmjVr2vXXX2+tWrUqdBNf+7Nt27aFrsdCBBBAAAEEEEAAAQQQQAABBBBAAIHsESiqy8TsKWlmlST0GqAjR44stO/Lwoqv/g/SnebOnesOoebviZICoKqxqgGKTjnllESr7DBPtVzVeW3//v2tSZMm9tRTT+2wTvyMggFQXfy//vqrKQBLQgABBBBAAAEEEEAAAQQQQAABBBDITgFqf5bPeQ09ANqgQYPyKUkxj6q+PpXUV2mi5Of7AZISrVNwnvo63WWXXQrOTvreB0AV+Bw0aJCp79Bt27a5JvcdO3Z0/YKqeXxhafny5bZo0aKEq2zcuNHNL82vCsqPT1u2bPGTGf3qux1QftUNQaanvLy8IIuaLmzQrGDFDJjQtRGl/Or/gU+l+T/h91GWr1HKr7+eo3ht6P9ehQoVyvLUpnSs+Htxaa6N+P8TKWXk/29UmnsW10tp5Iu3bfx5Ls31UryjhbeWrg09Z0pzfYWXm6L35K9lrak8R+Hzh7+XqMVT/Oe9oktbPmvEX8tRujb859KoXMs+vzrLujbi35fkzGu7VLfVcfR/Stun6sb1UpKzlfq68fcO3VPi74Wp7zW9W/o8+3tgeo9W+r3H/z+Sb6r/J0qfk5LtQc5Rym/8PaOsPi/JZ/Xq1SnfK/3/N10j/rou2Vkqv7VLc234/wO+/KmUIvQAaCqZKMtt1q1b5w7nA50Fj+1HrPfrFVye6H1Jgp/a/ssvv3S7efLJJ61SpUrWrl07N2r8V199ZVOmTLGZM2favffea3vttVeiw7l5b775phvAKdEKvmxr1661X375JdEqJZoXtV8ndO5Kcv5KhJGmlXXjCuNcpSl7CXcbtfyqEFG7NtQxtv6ilqJ2baxcuTJqxKYfuvyPXSXNfGnvj/4Duc5ztWrVSnr4HdbnetmBJPQZpbleQs9MMXaoD7j+Q24xVs+YVdQiKEpJX76ilhSYi9o9I2r51TWhlmmpJgWXSvNs0Gdi7SMMN66XVM9iybYrzfVSsiOFs3bUvtuq1ArMhfF/IhzB4u0lavlVqRQ/KYuke1NpP48rn7pXRiWg710VvEz12vCfDQmAes0iXvWlzX9hTDbAkW+G73GL2GWJF+tCX7p0qdtOzeY1aJQGZFLS/BtuuME0UNMtt9xiDz30kFWunHMxamfBPwgggAACCCCAAAIIIIAAAggggEA2CSgASiofgdCja2reneov4BqJvWnTpmmTULMkBRtVoypZgNPPr1q1alryoeM//fTT9tNPP9kBBxyQr9mlyj58+HD7wx/+YHKcMWOGHXHEEQnzodqhWi9RUjlVu1Rl0MBMqST9p/TVwfUrrmqqZnrSLwE6typ3FALHPr9yVfNbHwjPdGd/baR6bZV1+eJ/GYvKtSGj9evXW5UqVdxfWZulcjzl16eoXRtRya/uyf4Dk+5xqT6nUt3On1//KrdUa/lwvXjF9L2Gdb2kL4eJ96znuD5zhHWdJj5KeHP1w7qvFa3neBS601ANO33e1WCgUWiy7/Ors6ZrI9X7TnhnvXh78pUuCg66+v/YuxN4m6r+8eNfQ6Z7cVGmwq3cEBUllCkkpIREPI9KKE2PVI9C5mRqeJQiY4rKkETR9ERSigyF6C9jyjzea7z38v99V7+9f+fOZ9hn2Pd81ut1nT2svfZa77PP9LX2Wt4dHfpcek2otaZArg19jgK5rvRYLcPfz2aul9BcO57Xi1t+K1qdodxSX8/fivq6cMt7iX5X1deh237b6isnFL8V9TrUXtP6Oy+QpL9xrffLQMoJ1bFWT9VA4h762RBocjwA+uSTT8rixYv9qteQIUNk8ODBfh3r7UEXX3yx6PieWXV9t7bHxMR4W6RP+fQirVChgvnL7EC9nf6aa64xt8HrLfFZBUCvv/560b/MknYp1gCofnEoXrx4Zlly3Ka3RVkBULVww5dNfaPVH07abje84Xp+qOmL2d/nKscn0+EM+oatb9xuqa/eymC94ep14e8XaocZcyxOA0T6RcfqlZ7jAWHOYAUB9EPNLdeG9sjXa0OHPnFD0ELf36wAqF4bWd3JkNOlEOj7o36OadLn2d/PBq6XnJ6lwPc7db0EXhPfStAf1foDxC3vI/oeYgVA9b3Een341urQ5lZj/dP3EDf8h7G+72l9Nbnp2rCCiW65lnU4GKvO+t3D3x/nek0F8jrQY7UMf924XkLzfqIdnvRzRpNeL274Tyv9bavfP9zy21Y/WyxjN/1W1DiCvmf7+xoOzRX8f2fR+I9163sw4wj6XI4YMUKaN28u8fHx/1cBP5f0+4ebOstYv8cD+a1ofRcI6DPGT2/XHqYBUE1WoDN9Q6wxTMI5mVPp0qVNtQ4fPpy+eqwjgAACCCCAAAIIIIAAAggggAACCLhEYMmSJTJ37lx56KGHZPz48S6pde6rpuM9QJ966inp1KlTllL6P4saZNyxY4csXLjQPN5+++0yefJk0wsnywMd2mEFF7V3Zb169TKUqts1VatWLcM+Jzb89ttv8sMPP5heaPfcc0+mRR44cMBsv+yyyzLdz0YEEEAAAQQQQAABBBBAAAEEEEAAgcgXmDdvnl3JOnXq2MsshFbA8QBos2bNvG6BjnfZvn17c8v82LFj5dVXX/X6WH8zav0+//xz+eqrr6RLly5pitFu5joLuyYdnzMYSW8vmTJlirndUi/8SpUqpTmN3r6+adMms6169epp9rGCAAIIIIAAAggggAACCCCAAAIIIOAOAe38t2bNGlNZvSO5du3a7qh4Lqzl3wN5halhOlaSjheqk//85z//sYOPwayO9vrUMRd0kiHthuyZZs2aJXrbuQYl69at67lLvvvuO/nyyy9Nj9U0O3xc0cBqXFyc6PiPb7/9tj3OphajY5KMHj3ajPVRv359qVq1qo+lkx0BBBBAAAEEEEAAAQQQQAABBBBAIBIEPHt/3nbbbQGNkxwJ7XFzHRzvAeorhg6YrBeBBgO/+eYbadq0qa9F+JRfB13t2bOnDBo0SF588UVZuXKlJCQkyIYNG8yyDiTbt2/fDBNijBs3Tvbu3WuOvfzyy306p2dmnbhCJ3rSoQK0F6r+T4C2Xwc2Xr58uezZs0e0/D59+ngexjICCCCAAAIIIIAAAggggAACCCCAgEsEdPKtBQsW2LVt0aKFvcxC6AXCHgDVJteoUcO0/Ntvvw2JQKNGjczt9hoAXbp0qfnTE2vPUA08XnvttUGth3Z5njBhgmhQdfPmzTJ79mxzPp2ZV18QGhx1y0zVQYWicAQQQAABBBBAAAEEEEAAAQQQQMCFAsuWLZNDhw6ZmuvdwOXKlXNhK3JPlSMiAKoXhSbtfRmqVKtWLTMLl97y/scff4hOjlS2bNksuyPPmTPH66ppb9acko7vOWnSJDl+/Lg5f9GiRaVChQpZnj+n8tiPAAIIIIAAAggggAACCCCAAAIIIBAZAjrzu5VatmxpLfIYJoGwB0B1DFC9FVxTOAaDLVWqlOhfuFLx4sVF/0gIIIAAAggggAACCCCAAAIIIIAAAu4X2L9/vxnmUFsSGxsrDRo0cH+jXN4CxwOg8+fPl+3bt2fLouMgnDp1StatWyeffPKJyatjc7Zq1Srb49iJAAIIIIAAAggggAACCCCAAAIIIIBAJAt8+OGHcv78eVPFZs2aic5/QwqvgOMB0KlTp5qZ3X1tlk48RETcVzXyI4AAAggggAACCCCAAAIIIIAAAghEkoDV2U/rdPvtt0dS1aK2Lo4HQH2V1LE4H330UXnggQd8PZT8CCCAAAIIIIAAAggggAACCCCAAAIIRJSATnY9a9Ys2bRpk1x++eURVbdorYzjAdDp06fL6dOnc/TUCY/i4uKY7TxHKTIggAACCCCAAAIIIIAAAggggAACCLhFoFChQqbnJ0M9Rs4z5ngAVGdTJyGAAAIIIIAAAggggAACCCCAAAIIIBCNAklJSXLhwoVobHrEtjlvKGt28uRJ0YuAhAACCCCAAAIIIIAAAggggAACCCCAQG4T0MCnxr9IkSUQ1ADowYMH5ZlnnpHGjRtL+fLlJTY2VgYPHmwEduzYIQ0bNpR58+bZM2NFFg21QQABBBBAAAEEEEAAAQQQQAABBBBAwHsBHRYyNTXV+wPIGRIBx2+B11prtHvcuHEydOhQOXbsWKYN2blzp6xYscL8denSRd5++23RcUFJCCCAAAIIIIAAAggggAACCCCAAAIIuFGAO58j81kLSg/Q//znP9KnTx8T/MyfP7/oTO+VK1dOI5CSkmIHPN977z155JFH0uxnBQEEEEAAAQQQQAABBBBAAAEEEEAAAbcIaKzLm4nB3dKe3FRPxwOgGzZskH79+hmj1q1by7Zt22Tt2rWiy56pefPmZp/eBq9Je4D+9ttvnllYRgABBBBAAAEEEEAAAQQQQAABBBBAwBUC9P6M3KfJ8QDoq6++KmfPnjW9PufOnSsVK1bMsvUVKlSQzz//XEqWLGnGR5g6dWqWedmBAAIIIIAAAggggAACCCCAAAIIIIBApAoQAI3UZ0bE8QDo+vXrTWu1F2jhwoVzbLnmsXqHbt26Ncf8ZEAAAQQQQAABBBBAAAEEEEAAAQQQQCCSBJj8KJKejYx1cTQAqrNcbdq0yZzlhhtuyHi2LLa0bNnS7Nm9e3cWOdiMAAIIIIAAAggggAACCCCAAAIIIIBAZAloZ74vvvgiy0nAI6u20VsbRwOg+fLlk9jYWKN5/Phxr1UPHjxo8pYvX97rY8iIAAIIIIAAAggggAACCCCAAAIIIIBAOAV0TpsnnnhC2rZtKzovDikyBRwNgGoTr7vuOtPS//73v163WMcB1VSjRg2vjyEjAggggAACCCCAAAIIIIAAAggggAAC4RLQMT8XL15sTq/L2c2DE646ct6/BRwPgNatW9eUPGzYMPn9999zdJ4+fbosWbLE5PPltvkcCyYDAggggAACCCCAAAIIIIAAAggggAACQRLQ4OepU6dM6TfffLMUL148SGei2EAFHA+APvvss6KzuycmJkrt2rVl4sSJsn///gz13LVrl/To0UO6d+9u9jVo0EDat2+fIR8bEEAAAQQQQAABBBBAAAEEEEAAAQQQiDSBOXPm2FW6/fbb7WUWIk/A8QBoXFyczJgxQ/LmzSs6DugjjzwiZcuWNYFQbf77778vl1xyicTHx8vUqVPlwoULUqRIEdGeoHoMCQEEEEAAAQQQQAABBBBAAAEEEEAAgUgW2Lx5sz3mp8a9atWqFcnVjfq6BSXi2KRJE/nhhx+kXr16NvDZs2fN8t69e+XQoUP29mbNmslPP/0klStXtrexgAACCCCAAAIIIIAAAggggAACCCCAQKQKfPDBB3bVWrVqJXny5LHXWYg8gfzBqtKNN94o33//vcybN888bt26VfRPe3xeddVVkpCQIBoobdOmTbCqQLkIIIAAAggggAACCCCAAAIIIIAAAgg4KnDy5ElZtGiRKTNfvnzSsmVLR8unMOcFghYA1apq9Puee+4xf85XnRIRQAABBBBAAAEEEEAAAQQQQAABBBAIrcCnn34qGgTVpJMflShRIrQV4Gw+Czh+C/ykSZPkySeflF9//dXrygwfPtxcMCNHjvT6GDIigAACCCCAAAIIIIAAAggggAACCCAQagHP299bt24d6tNzPj8EHA+AfvzxxzJu3DjZsWOH19VZtmyZrFy50qegqdeFkxEBBBBAAAEEEEAAAQQQQAABBBBAAAEHBDZt2iT6p6lcuXJMfuSAaSiKcDwA6kulU1NTZcuWLfLzzz+bw3Q2eBICCCCAAAIIIIAAAggggAACCCCAAAKRKKDz2rzyyism8Km9P5n8KBKfpYx1CmgMUH2i//vf/6YpNTk52ay3a9dO8ubNPr6qec+fP28fX7t2bXuZBQQQQAABBBBAAAEEEEAAAQQQQAABBCJJ4KKLLpKGDRtKjRo1Iqla1CUHgYACoC+//LJce+21YgU9Pc+V2TbP/emX9cJp27Zt+s2sI4AAAggggAACCCCAAAIIIIAAAgggEBECFy5ckMTExIioC5XwXiCgAGjVqlVlwoQJsnr1avuMS5Yskd27d0urVq2kYsWK9vbMFjRqHhMTI5dffrl07NiRWbMyQ2IbAggggAACCCCAAAIIIIAAAggggEBECJw9e1ZSUlIioi5UwnuBgAKgepru3bubP+uUelu8BkAfe+wxYSYsS4VHBBBAAAEEEEAAAQQQQAABBBBAAAG3C9D7053PYMAB0PTN7tSpk9SrV0+qVKmSfhfrCCCAAAIIIIAAAggggAACCCCAAAIIuFJAJ/M+deqUK+se7ZXOfpYiP3Q2bdokkyZNkqlTp3JR+OHHIQgggAACCCCAAAIIIIAAAggggAACkSeQlJQUeZWiRl4JOB4AnTlzpuzZs0cmT54sBQsW9KoSZEIAAQQQQAABBBBAAAEEEEAAAQQQQCCSBQiARvKzk33dHA2AalfggwcPmjM2aNBA8uXLl/3Z2YsAAggggAACCCCAAAIIIIAAAggggECEC5w+fZrJjyL8Ocqueo4GQDXg2ahRI3O+VatWyfnz57M7N/sQQAABBBBAAAEEEEAAAQQQQAABBBCIeAF6f0b8U5RtBR0NgOqZXnjhBSlWrJjs3btXevToISdOnMi2AuxEAAEEEEAAAQQQQAABBBBAAAEEEEAgEgV++OEHOX78OPPcROKT40OdHJ8FPi4uTiZOnCh9+/aV6dOny0cffSTVqlWThIQEiY+PlwIFCmRZPe092rBhwyz3swMBBBBAAAEEEEAAAQQQQAABBBBAAIFQCCQmJsrDDz9sTnXbbbfJ448/HorTco4gCDgeAH366adl8eLFdlWPHTsmK1euNH/2xiwWhgwZQgA0Cxs2I4AAAggggAACCCCAAAIIIIAAAgiETmDBggVy5swZc0JugQ+dezDO5Pgt8MGoJGUigAACCCCAAAIIIIAAAggggAACCCAQSoH333/fPl3r1q3tZRbcJ+B4D9CZM2fK2bNn/ZKIjY316zgOQgABBBBAAAEEEEAAAQQQQAABBBBAwCmB1atXy7Zt20xxlSpVkmuuucapoiknDAKOB0BLlCgRhmZwSgQQQAABBBBAAAEEEEAAAQQQQAABBJwReO+99+yC7rjjDnuZBXcKOB4AzYpBx0rQyHnBggWldOnSooHSPHnyZJWd7QgggAACCCCAAAIIIIAAAggggAACCIRc4PDhw/Lll1+a8xYqVEhuvfXWkNeBEzorENQxQDdt2iRt27aVChUqSNGiRaVmzZpmRvhSpUrJJZdcIj179pQ1a9Y42yJKQwABBBBAAAEEEEAAAQQQQAABBBBAwE+BefPmSXJysjm6SZMmEhMT42dJHBYpAkEJgKakpMizzz4rtWrVko8//lj27NmTob0aTZ8yZYrUq1dPxowZk2E/GxBAAAEEEEAAAQQQQAABBBBAAAEEEAilwPnz52X27Nn2Ke+88057mQX3CgTlFvgRI0bYQU29zf2WW26RKlWqiA4ae+rUKdm1a5esX79efvnlF7GCpWXLlpX77rvPvZLUHAEEEEAAAQQQQAABBBBAAAEEEEDA1QLffvut/Pnnn6YNVatWlcqVK7u6PVT+bwHHA6Dr1q0TDYBquvnmm2X8+PGmJ+jfp0v776JFi6R3796yY8cOeeyxx6RNmzYSFxeXNhNrCCCAAAIIIIAAAggggAACCCCAAAIIhECAyY9CgByGUzh+C/xrr71mxkm4/PLL5dNPP80y+Klt1W7EGgQtUqSI6CRJs2bNCgMBp0QAAQQQQAABBBBAAAEEEEAAAQQQQEDMfDXNmzc3k3c3btwYklwi4HgAVG9r1zR48GCvenNWr15dunfvbo5ZunSpeeQfBBBAAAEEEEAAAQQQQAABBBBAAAEEQi1www03mHlt3n33XSlYsGCoT8/5giTgaAA0NTVVfv31V1PVOnXqeF1lK6+ODUpCAAEEEEAAAQQQQAABBBBAAAEEEEAgHAInT54UnQipQIEC4Tg95wySgKMB0Lx580r+/H8PK6oXjLdJJ0bSVLx4cW8PIR8CCCCAAAIIIIAAAggggAACCCCAAAKOCugQjaTcJ+BoAFRnfNcZsjStWLHCay2dYUvTNddc4/UxZEQAAQQQQAABBBBAAAEEEEAAAQQQQMApgbNnz4r+kXKfgKMBUOWpW7euURoyZIhs3749R7HPP//cnvyoVq1aOeYnAwIIIIAAAggggAACCCCAAAIIIIAAAk4L0PvTadHIKc/xAOiAAQMkNjZWjh8/Ljpb1rRp00THBk2fEhMTZdiwYdKhQwe5cOGC6f157733ps/GOgIIIIAAAggggAACCCCAAAIIIIAAAkEV0HE/rSEag3oiCg+LwN8Ddjp46nLlysnIkSPliSeekD179pgZ3p955hm54oorJD4+Xs6dOyc7d+6Ubdu22RfWRRddJDNmzGCAWQefB4pCAAEEEEAAAQQQQAABBBBAAAEEEPBOQHt/ahCUlDsFHA+AKtPjjz8uVapUkQcffNAEQY8ePSpr1qwxf+kZa9asKePHjxduf08vwzoCCCCAAAIIIIAAAggggAACCCCAQCgEuP09FMrhO0dQAqDanObNm8vGjRtlwoQJ5nHz5s2yZcsW0d6eCQkJ5q9p06bSrVs3yZcvX/gEODMCCCCAAAIIIIAAAggggAACCCCAQNQK6MRHycnJUdv+YDVch8fUO8T/9a9/SYMGDYJ1Gq/KDVoAVM9evHhxee655+yK6FifOlM8CQEEEEAAAQQQQAABBBBAAAEEEEAAgXAK7N2713TKu/jii8NZjVx77tdee02WL19u/gYPHiw6YXq4kuOTIGXXEIKf2emwDwEEEEAAAQQQQAABBBBAAAEEEEAgVALTp08XnZC7f//+osFQknMCu3fvlnfeeccUqHd+33rrrc4V7kdJIQ2AHjp0SI4cOeJHNTkEAQQQQAABBBBAAAEEEEAAAQQQQAABZwSOHTsmS5cuNRMfrV27VmJiYpwpmFKMwKhRo+xhBTTIrMNhhjMF9Rb4VatWycKFC2X9+vWybt06+euvv0xbCxQoILVr15Z27dqZWeJLlCgRTgPOjQACCCCAAAIIIIAAAggggAACCCAQRQILFiywA3SNGzeWYsWKRVHrg9tUDSgvXrzYnKRIkSJmDNDgnjHn0oMSAD1z5ow8/PDD8u6774qO+5k+nTt3Tr7//nvzN3bsWHnjjTekQ4cO6bOxjgACCCCAAAIIIIAAAggggAACCCCAgKMC58+flw8//NAu84477rCXWQhc4IUXXrAL6dGjh0TCGKuOB0BTU1OlU6dOpuentjZv3rxSr149iY+PlwoVKkhSUpLoOAA6Q/yOHTvkwIEDJv/8+fPlrrvusoFYQAABBBBAAAEEEEAAAQQQQAABBBBAwGmBb775xh7zU2/NDvft2U63L5zlLVmyRLQHqKayZcvKfffdF87q2Od2PAA6Z84cO/jZpk0b0Xv+q1WrZp/QWtBo+7x58+TZZ5+VnTt3SteuXU1gNC4uzsrCIwIIIIAAAggggAACCCCAAAIIIIAAAo4KzJo1yy6vVatW9jILgQkkJyebOKBVyjPPPCOFChWyVsP66PgkSOPHjzcNat68uWivzsyCn5pBe4Z27NhRNDKs4ywkJibKpEmTworByRFAAAEEEEAAAQQQQAABBBBAAAEEcq/Arl275NtvvzUNLFq0qNSvXz/3NjbELdOhMNVX09VXXy3t27cPcQ2yPp3jAVC9tV3TiBEjRKe5zylVrVrVjBeq+awLMKdj2I8AAggggAACCCCAAAIIIIAAAggggICvAu+//759yK233ioXXXSRvc6C/wLHjx+X1157zS5gwIABpvOjvSHMC44GQFNSUkQnQMqTJ49ce+21XjdNZ4TXtG/fPq+PISMCCCCAAAIIIIAAAggggAACCCCAAALeCmjMypr8SGNXLVq08PZQ8uUgoHeEHzt2zORq0qRJxPWsdTQAmj9/fqlVq5aZ+d3qCZqDj9mtY4BqqlmzpnnkHwQQQAABBBBAAAEEEEAAAQQQQAABBJwUWLRokZw4ccIUeeONN0rp0qWdLD5qy/rjjz9kxowZpv065GW/fv0izsLRAKi2rmHDhqaRegv8hQsXcmzw6dOnZebMmSZf48aNc8xPBgQQQAABBBBAAAEEEEAAAQQQQAABBHwVqFu3rvzjH/+QmJgYad26ta+Hkz8LgTFjxsi5c+fM3k6dOslVV12VRc7wbXY8ADpw4EDTC/Sjjz6SHj16yKFDh7Js3YEDB8yFt2HDBtPtuHPnzlnmZQcCCCCAAAIIIIAAAggggAACCCCAAAL+ClSsWFEeeeQR0XFAr7/+en+L4TgPgXXr1on2rNVUpEgR6dOnj8feyFnM73RVtm7dKk8++aT06tVLpk2bJrNnz5YuXbpIlSpVJD4+3vQK1a6xmzdvllmzZsmpU6dMFRISEmTIkCGZVufee++V6tWrZ7qPjQgggAACCCCAAAIIIIAAAggggAACCOQkkJqaKnoncqFCheweizkdw/7sBYYPH25n0FhgpA4r4HgAdNCgQbJ48WK78SdPnpTJkyfb61kt6GCpWaXrrruOAGhWOGxHAAEEEEAAAQQQQAABBBBAAAEEEMhRIDEx0avhGnMsiAxG4NNPP5W1a9ea5TJlykjPnj0jVsbxW+AjtqVUDAEEEEAAAQQQQAABBBBAAAEEEEAgKgV0npqkpKSobHswGn327FkZOXKkXXTfvn2lcOHC9nqkLTjeA1RveU9JSXG0nTo4Lcl3AX1hHz582PcD/+cIz+dQZ0jTWbwiPVmTbmm7raEVIrnOVn21jtoN39/nKtRt1Gvj/Pnzrqmv2lpJrw293cEtSa9j/VBxQ9JrQpNe1265lq1rQ+ubJ0+eiGe26qsV1WvDGmTc14rrnRmBJOu5VreCBQv6VZRVBteLX3xeHWQZa+ZArhevTuZgJr3Oz5w5k+Z7HzWJ6QAAQABJREFUiIPFO16U5/elI0eOuOK9xLo2jh075qr66pOnn4lu+YxJTk4215tb6ut5Leu14e93f213gQIF/H6t6XuAluGvm3V9c734/RR4daDn9XL8+HG/rxevTuZQJuu3l9t+22rz1dvf14RDfF4Xo3XV12Gk1le/Y3gGQD3fM/S7tfXe7XWDw5DRupa1vp6vxTBURaZOnSp79uwxp9ZhK1u1apXt7+1Arg3rd7Hnc+Zrmx0PgMbGxvpaB/IHSUB/0Pv75cUzGBBIOUFqWqbFWm8Ebquv1Rh/nyvr+FA9WteGW+rr+QbplmvDei7dVl+r3m67NrS+1nVttSESH/U9zgqCBnJtONVWdXPiuXaijFA8X9Z7iZuuF8slkOvFKiNUj1pXN9XX08Vt14abnT3dI3VZfTW55T3O01Hr7G+9rXZ7lufrspPXpr/t8LXOgea33NxSX8/2BnK9eJYT7GXrc9zJ6yuYdbZ+21rncMu1ob6RbKxBNOv1Ztl6Pma3zzNfJCxb1uGqy9GjR2XixIn26Z999lmvPjv8vZb9Pc6u4P8sOB4A9Sw8/bLOCK+VLlmyZPpdrAdBQHvOlihRwq+S9X/yrF6URYsW9buXj18n9/MgDQwcOHBAtN2R3O3aap5+qO3bt8+s5suXz+/nyiovVI/6v6bai9LfaytU9bTOo//Dp+O8aNJrQ2elc0Pau3evuY7d8p9K+/fvN//bqx/Ebrk2tCekXs9aXzd82dHXnfbK0aTvcfre7E8K9DVgfflQN397gHK9+PPM+XaMU9eLb2cNPLd+jut1Vbx48cALC0EJ+t3W6i0SFxfn1Rf/EFQr21Pojz/trarG+fOH9KdAtvXKaqf2cLF6Eum1oc5uSGqsyS2fifpDVntGaSpWrJhcdNFFZtnXf/Sa0u+1/iY9Vsvw143rxV95347T7yPWXVX6fSSQXr++ndn/3NpT7uDBg+b7k7/fX/w/u+9HasBWvy9pCuQ14fuZAztC4wj6OePvaziws2d/tL4/6Hd/z/co3aZ/mvQ6dsPnotZVf+Pq+7S/79VaRqDpzTfftHvTtmjRQho1apRlkVavW/0d4e+1YfUAtX6LZHmybHYE9VvPqlWrZOHChbJ+/XpZt26d/PXXX6YqemHVrl1b2rVrJ927d/cbIJt2sQsBBBBAAAEEEEAAAQQQQAABBBBAAAET/ITBGYHff/9d3nvvPVOYBo379evnTMFBLiUoAVD938OHH35Y3n333Uxn19II+/fff2/+xo4dK2+88YZ06NAhyE2leAQQQAABBBBAAAEEEEAAAQQQQACBaBLQHrXWHa7R1O5gtXXEiBH20Fz33XefxMfHB+tUjpbreABUb0Pu1KmT6fmpNdXuqfXq1TMgFSpUMF1kd+/eLRs3bpQdO3aYW5Y1//z58+Wuu+5ytHEUhgACCCCAAAIIIIAAAggggAACCCAQfQI6FNquXbukYsWKmXbOiz6RwFv83XffydKlS01BOpxO7969Ay80RCU4HgCdM2eOHfxs06aNjBo1SqpVq5ahORqBnzdvnuhAqTt37pSuXbuKBkbdMq5PhgaxAQEEEEAAAQQQQAABBBBAAAEEEEAgIgQ05qQxqauvvlp69OghNWrUiIh6ubUSGsd74YUX7Opr8NMt47ZrpfPaNXdoYfz48aak5s2bm16dmQU/NYP2DO3YsaMsWbLEDLStkflJkyY5VAuKQQABBBBAAAEEEEAAAQQQQAABBBCIRgGddHjWrFmm6b/++qsrJiqM9Odp7ty5snnzZlNNve1dOzK6KTkeANVb2zXpmACes2tlhVK1alUzXqju//bbb7PKxnYEEEAAAQQQQAABBBBAAAEEEEAAAQRyFFi+fLn88ccfJl9CQoLpBZrjQWTIUuDkyZPy0ksv2ft14qNwzkJvV8SHBUcDoCkpKaITIOXJk0euvfZar6uhM8Jr2rdvn9fHkBEBBBBAAAEEEEAAAQQQQAABBBBAAIH0Ajopt5WYb8aS8P9xwoQJcvDgQVNA3bp1pUWLFv4XFqYjHQ2A5s+fX2rVqmUGl7V6gnrTLh0DVFPNmjXNI/8ggAACCCCAAAIIIIAAAggggAACCCDgq4DGmKw7jIsVKya33HKLr0WQ30Pgzz//lMmTJ9tbBg4caC+7acHRAKg2vGHDhqb9egu8jrmQUzp9+rTMnDnTZGvcuHFO2dmPAAIIIIAAAggggAACCCCAAAIIIIBApgJWjEl33n777VKgQIFM87HROwGdSOrs2bMmc4cOHVw7mZTjAVCNBGsv0I8++sjMsnXo0KEsRQ8cOCD/+Mc/ZMOGDab7bOfOnbPMyw4EEEAAAQQQQAABBBBAAAEEEEAAAQSyEtCxKufPn2926+Tbd9xxR1ZZ2e6FwJo1a2TRokUmZ5EiRaRv375eHBWZWfI7Xa2tW7fKk08+Kb169ZJp06bJ7NmzpUuXLlKlShXRWaK0V6gORKszR+mMXKdOnTJV0EFphwwZkml17r33XqlevXqm+9iIAAIIIIAAAggggAACCCCAAAIIIIDAggULRIOgmm6++WYpXbo0KH4KaPxu2LBh9tGPPPKIqz0dD4AOGjRIFi9ebAPphec5VoC9I93C+PHj0235v9XrrruOAOj/cbCEAAIIIIAAAggggAACCCCAAAIIIJBOwPP297Zt26bby6ovAhpM/vnnn80h5cuXl549e/pyeMTldfwW+IhrIRVCAAEEEEAAAQQQQAABBBBAAAEEEMjVAt9//71s377dtFHvQL722mtzdXuD2Tidr2f06NH2KZ577jkpVKiQve7GBcd7gOot7ykpKY5axMTEOFoehSGAAAIIIIAAAggggAACCCCAAAII5B6Bq6++Wvr06WOGW7zrrrtyT8PC0JK33npL9u3bZ858/fXXS5s2bcJQC2dP6XgANDY21tkaUhoCCCCAAAIIIIAAAggggAACCCCAAALZCMTFxUmnTp3ktttuM/PPZJOVXdkIaOBz4sSJdg4d6jI3JMcDoIGg6ACrefLkCaQIjkUAAQQQQAABBBBAAAEEEEAAAQQQiDKB8+fPS1JSkuTLly/KWu5sc0eNGiVnzpwxhbZr105q1qzp7AnCVFpQA6A7d+40XWbPnTsneiFaSQOdept8amqqmZ1r//798umnn5oZugYMGGBl4xEBBBBAAAEEEEAAAQQQQAABBBBAAIEcBTT46Rl7yvEAMmQQWL9+vejkR5p0zM9nn302Qx63bghKAPSHH34QHSD1m2++8cnlxhtv9Ck/mRFAAAEEEEAAAQQQQAABBBBAAAEEEEhMTAQhQIFhw4bZJfTq1UvKli1rr7t9wfEA6NGjR0W7yFqDpXoLVL58ealataq32cmHAAIIIIAAAggggAACCCCAAAIIIICA6KzlTk/IHW2sCxculLVr15pma+Dz4YcfzlUEjgdAX3zxRTv42axZMzNTVOHCheWhhx6SggULypQpU8xt77t27ZI5c+bItm3b5IorrpAtW7bIRRddlKtwaQwCCCCAAAIIIIAAAggggAACCCCAQHAFTpw4EdwT5PLSdcxPHfvTSnpXt8byclNyPAC6Zs0a46Ozbn3++ee21ejRo02w86qrrpI6deqY7X379pWWLVvKjz/+KC+//LK5bd4+gAUEEEAAAQQQQAABBBBAAAEEEEAAAQSyEdB5Z6xJe7LJxq5sBN566y3566+/TA6d9Oiuu+7KJrc7d+V1utpbt241Rfbu3TtN0TfddJNZX7p0qb09Li5OvvrqK7nyyitFxxnYsWOHvY8FBBBAAAEEEEAAAQQQQAABBBBAAAEEshNg7M/sdHLet3fvXpkwYYKdcfDgwZInTx57PbcsOBoATU5Olj///NPYJCQkpDGqUqWKWf/ll1/SbI+NjZVWrVqZ8Ro++uijNPtYQQABBBBAAAEEEEAAAQQQQAABBBBAIDMBnfX91KlTme1im5cCI0eOtHvQ6pw+tWrV8vJId2VzNACqY3iWKlXKCOTPn/bu+qwCoJq5cePG5pgNGzaYR/5BAAEEEEAAAQQQQAABBBBAAAEEEEAgMwEd81PvMD5+/LhoEJTkn4AOY6mTH2nSMT917M/cmhwNgCqSNZN7+tvZq1WrZgx1siMdn8EzFSlSxKxu2rTJczPLCCCAAAIIIIAAAggggAACCCCAAAIIpBGYN2+e9OrVS9q3by8//fRTmn2seCdw4cIFGTJkiJ350UcflTJlytjruW0haAHQiRMnprHSHqDaKzQlJUWWL1+eZt8nn3xi1osWLZpmOysIIIAAAggggAACCCCAAAIIIIAAAghYAqmpqTJz5kyzqhP3xMTEWLt49EFg7ty5Yt2Jfdlll0nPnj19ONp9WR0PgHbt2tUMlqqQHTp0sCPxent8/fr1jZBGlfUi1WjzokWLRCP3mipXrmwe+QcBBBBAAAEEEEAAAQQQQAABBBBAAIH0Al9//bU9/4zehWzdcZw+H+tZCyQlJcnYsWPtDAMGDJBChQrZ67lxwfEAaKNGjeSJJ54wVh9++KG0adPGdnvqqafMss4UX6FCBSlXrpzZf/DgQbNdg6ckBBBAAAEEEEAAAQQQQAABBBBAAAEEMhOYMWOGvVkn7SH5LvD666+LFYurV6+emZzc91LcdYTjAVBtvs4g9fjjj4vO8H7llVfaInfeeac89thjZl0Hqd2/f7+9T7vaNmjQwF5nAQEEEEAAAQQQQAABBBBAAAEEEEAAAUtA55VZvXq1WS1ZsqQ0bNjQ2sWjlwK7du2SadOmmdx58uSRQYMGeXmku7OlnardobbopEYaTR4xYoSsX7/eLlVhx48fLzfccIMsWLBA1q1bZ25779Kli/To0cPOxwICCCCAAAIIIIAAAggggAACCCCAAAKeAp69P/WOY51rhuSbwAsvvCDJycnmoM6dO8vVV1/tWwEuze34lXLmzBkpUKCA5M2bV4oVKyZ6S3z61K1bN9E/EgIIIIAAAggggAACCCCAAAIIIIAAAjkJHDlyRKxJtHWemdatW+d0CPvTCaxYsUK+/PJLs1Vjds8880y6HLl31fFb4AcPHiyVKlWSfv36yalTp3KvHC1DAAEEEEAAAQQQQAABBBBAAAEEEAiJwAcffCDnzp0z52ratKkUL148JOfNLSdJSUmRoUOH2s3p3bu36DAC0ZIcD4DOnDlT9uzZI5MnT5aCBQtGiyPtRAABBBBAAAEEEEAAAQQQQAABBBAIgoAGPt977z275LZt29rLLHgn8O6774pOSq5J5+u57777vDswl+RyNACamppqzyKlExrly5cvlzDRDAQQQAABBBBAAAEEEEAAAQQQQACBcAh89tlndrzpuuuuSzPhdjjq47Zz6vABr776ql3tgQMHig4jEE3J0QCoBjytMT9XrVolOtM7CQEEEEAAAQQQQAABBBBAAAEEEEAAAX8FWrZsKcOHDzeBz7vvvtvfYqL2uLFjx8qJEydM+5s1aya33HJL1Fk4GgBVPZ1NSgdS3bt3r5nZ3QKOOlkajAACCCCAAAIIIIAAAggggAACCCAQsIBOtt2kSROZMGGC1KtXL+DyoqmAjRs3io6fqkkdBw0aFE3Nt9vq+CzwcXFxMnHiROnbt69Mnz5dPvroI6lWrZokJCRIfHy8wbbPnm5Be482bNgw3VZWEUAAAQQQQAABBBBAAAEEEEAAAQSiVSA5OVlOnz4drc0PqN1DhgyRCxcumDJ69OhhJi4PqECXHux4APTpp5+WxYsX2xzHjh2TlStXmj97YxYL+qQQAM0Ch80IIIAAAggggAACCCCAAAIIIIBAFAokJibaQbwobL7fTV6wYIH89NNP5vjSpUvLY4895ndZbj/Q8Vvg3Q5C/RFAAAEEEEAAAQQQQAABBBBAAAEEIkNAJ9w+efJkZFTGRbU4deqUjBw50q5x//79JSYmxl6PtgXHe4DOnDlTzp4965djbGysX8dxEAIIIIAAAggggAACCCCAAAIIIIBA7hPQ4CeTbPv+vI4fP172799vDrzhhhukbdu2vheSi45wPABaokSJXMRDUxBAAAEEEEAAAQQQQAABBBBAAAEEwiXA5Nq+y+/atUumTJliDsyTJ48MHTrU90Jy2RHcAp/LnlCagwACCCCAAAIIIIAAAggggAACCOQGAe39qbfAk3wTGD58uJw7d84c1KlTJ6lRo4ZvBeTC3ARAc+GTSpMQQAABBBBAAAEEEEAAAQQQQAABtwvo5Eck3wS++eYb+eqrr8xBxYoVk3//+9++FZBLcxMAzaVPLM1CAAEEEEAAAQQQQAABBBBAAAEE3Cpw5swZv+eYcWubA613cnKyDBs2zC6mT58+UqpUKXs9mhccHwM0mjFpOwIIIIAAAggggAACCCCAAAIIIICA/wIbN26UTZs2Sf369f0vJEqPnD59umzbts20PiEhQbp27RqlEhmbTQ/QjCZsQQABBBBAAAEEEEAAAQQQQAABBBAIg8CkSZNk0KBB0q5dO/n111/DUAN3nvLAgQMybtw4u/JDhgyR/Pnp92iBEAC1JHhEAAEEEEAAAQQQQAABBBBAAAEEEAibwJ49e+TLL780509JSZH4+Piw1cVtJ37xxRdFJ43S1KpVK3rQpnsCCYCmA2EVAQQQQAABBBBAAAEEEEAAAQQQQCD0Au+++66cP3/enLhly5ZSpEiR0FfChWdcvXq1LFiwwNS8UKFC8vzzz7uwFcGtMgHQ4PpSOgIIIIAAAggggAACCCCAAAIIIIBADgJJSUkyd+5ckytv3rzStm3bHI5gtwqkpqbK4MGDbYzHHntMLr30Unudhb8FCIByJSCAAAIIIIAAAggggAACCCCAAAIIhFVgzpw59i3cOgFS2bJlw1oft5x81qxZ9lipFStWlIceesgtVQ9pPYM6GqoOwPrbb7/JqVOnRMduyCldddVVorNUkRBAAAEEEEAAAQQQQAABBBBAAAEEokNAY0YzZsywG9uhQwd7mYWsBY4cOSIvvfSSnUF7ghYsWNBeZ+H/BIISANWgp443oOMPeBP4tKqjT5TOUkVCAAEEEEAAAQQQQAABBBBAAAEEEIgOgSVLlsi+fftMY6tXry7VqlWLjoYH2MoxY8bIiRMnTClNmjSRZs2aBVhi7j3c8QBoYmKitGnTRv7f//t/uVeNliGAAAIIIIAAAggggAACCCCAAAIIOCIwbdo0u5y7777bXmYha4FffvlFZs+ebTIUKFCADoVZU5k9jgdAhw0bZgc/9Xb2zp07S3x8vBm7IU+ePNlWp3LlytnuZycCCCCAAAIIIIAAAggggAACCCCAQO4R+OGHH+wxLMuXLy8333xz7mlckFpy4cIFGTRokOijJh33s1KlSkE6W+4o1vEA6IoVK4xMrVq15KuvvpKSJUvmDilagQACCCCAAAIIIIAAAggggAACCCDgqMAXX3xhl9e+fXvRGeBJ2QvMmzdP1q9fbzKVK1dOdOZ3UvYCjgZAU1NT5eeffzZnfPDBBwl+Zm/PXgQQQAABBBBAAAEEEEAAAQQQQCCqBbQn44033iga1Lvtttui2sKbxuuYn54THw0cOFAKFy7szaFRncfRAGi+fPkkJiZGTp8+LdoDlIQAAggggAACCCCAAAIIIIAAAggggEBWAufPn5caNWrI1VdfnVUWtnsIjB8/XnT2d006XMDtt9/usZfFrAQc71d80003mXPt3Lkzq3OyHQEEEEAAAQQQQAABBBBAAAEEEEAAATOLuQZBSTkL/Prrr/LBBx+YjNoJcejQoTkfRA4j4HgAtGnTpqbgKVOmQIwAAggggAACCCCAAAIIIIAAAggggECmAjqJT1JSUqb72JhWQK30dncrWKxDT+rk4yTvBBwPgD7xxBOig9YuW7ZM/vWvf0liYqJ3NSEXAggggAACCCCAAAIIIIAAAggggEDUCJw8eVJ0PhlSzgIffvihrFmzxmQsXbq0PPnkkzkfRA5bwNExQLXUTZs2Sc+ePWXVqlXy+uuvm665N9xwg1SqVEkuueQS+8SZLWjv0SZNmmS2i20IIIAAAggggAACCCCAAAIIIIAAArlEQHs06oQ+pJwFjh8/LiNHjrQz9u/f38zBY29gIUcBxwOg/fr1k8WLF9snPnjwoHz22Wf2enYL+fPnJwCaHRD7EEAAAQQQQAABBBBAAAEEEEAAgVwgcObMGUlOTs4FLQl+E15++WU5fPiwOVGdOnWkdevWwT9pLjuD47fA5zIfmoMAAggggAACCCCAAAIIIIAAAggg4LAAvT+9A9U7rWfOnGkya8fBAQMGeHcgudIION4DdPbs2ZKSkpLmJN6uFCpUyNus5EMAAQQQQAABBBBAAAEEEEAAAQQQcKHA2bNnRXuAkrIXSD/xUffu3eXKK6/M/iD2ZirgeAA0NjY20xOxEQEEEEAAAQQQQAABBBBAAAEEEEAAASbM9u4amDt3rqxdu9ZkLlu2rJlsXIOiJN8FHA+A+l4FjkAAAQQQQAABBBBAAAEEEEAAAQQQyO0CgwYNklKlSolOgl2sWLHc3tyA2qcTH40aNcouY+DAgWbio6SkJHsbC94LhCwAqk/Qtm3bpGDBglK6dGkpUaKE5MmTx/uakhMBBBBAAAEEEEAAAQQQQAABBBBAwJUCu3btkjlz5oj2YPzggw9k1qxZki9fPle2JRSVfumll+TIkSPmVPXr12fiowDRgzoJkg7U2rZtW6lQoYIULVpUatasKdWqVTPR/ksuuUR69uwpa9asCbAJHI4AAggggAACCCCAAAIIIIAAAgggEMkC06ZNM8FPrWOzZs0IfmbzZG3cuDHNxEdDhw7NJje7vBEISgBUJ0F69tlnpVatWvLxxx/Lnj17MtTl8OHDMmXKFKlXr56MGTMmw342IIAAAggggAACCCCAAAIIIIAAAgi4X0BjQPPnzzcN0ZnM27dv7/5GBakF2kP2+eeft4PFPXr0kMqVKwfpbNFTbFBugR8xYoQd1NTb3G+55RapUqWKVKpUSU6dOiXa7Xn9+vXyyy+/mBnjNViqg7ned9990SNPSxFAAAEEEEAAAQQQQAABBBBAAIEoEJg5c6acO3fOtFTH/9RxQEmZC7z//vsmZqZ7y5UrZyY+yjwnW30RcDwAum7dOtEAqKabb75Zxo8fb3qCZlapRYsWSe/evWXHjh3y2GOPSZs2bSQuLi6zrGxDAAEEEEAAAQQQQAABBBBAAAEEEHCZgHaE0/E+rXTPPfdYizymE9AxP0ePHm1v1UmjihQpYq+z4L+A47fAv/baa5KcnCyXX365fPrpp1kGP7XKd955p2gQVJ9MnSTJ8wXhf5M4EgEEEEAAAQQQQAABBBBAAAEEEEAgEgTmzZsnOqO5prp165q7gyOhXpFYh5EjR9pWjRs3llatWkViNV1ZJ8d7gOpt7ZoGDx7sVW/O6tWrS/fu3eX111+XpUuXmp6goZA8e/as6Ivwp59+kqNHj0pCQoKZpKlly5YBD8Srgd933nlHhgwZYiZ9yqo9W7Zskblz55ohAWJiYuSaa64R7Qp+xRVXZHUI2xFAAAEEEEAAAQQQQAABBBBAAAFXCKSmpsrbb79t17Vjx472MgtpBTQ+pTEiTQULFpRhw4alzcBaQAKOBkD1wv71119NherUqeN1xay8OjZoKNKxY8fk0UcflT/++MOcrmTJkvLZZ5+Zv++//94EbwsUKOBXVTZs2CAvvfSSGdtUg6xZJQ2+jhs3zuyOjY01Y2GsXbtW5syZI6NGjZLrr78+q0PZjgACCCCAAAIIIIAAAggggAACCES8wJIlS+TPP/809axatarp+BXxlQ5DBXUy8QEDBthn1piVzqNDck7A0Vvg8+bNKzqbl6aTJ096XUsdD0JT8eLFvT4mkIzDhw83wU/tev3JJ5+Ymeo/+OADufLKK2X58uWit/H7k3T8U71g9cLNLmmQVM+hQVYdL3Xx4sUm+Pqvf/1LTp8+Lc8884zs27cvuyLYhwACCCCAAAIIIIAAAggggAACCES0wJQpU+z60fvTpsiwMH36dPntt9/Mdg189urVK0MeNgQm4GgAVGd814i+phUrVnhds2+//dbk1VvAg520h+qqVaukcOHC8sILL9hB10svvVReeeUVc/u7/g9FYmKi11XRAK72+tQApt5Or4Hg7NKMGTPkwoUL8s9//lMaNWok6nbRRReJDgTcoUMHM4bqggULsiuCfQgggAACCCCAAAIIIIAAAggggEDECpw4ccIeGrF8+fJmouyIrWwYK6Yd4F599VW7BtppT2+BJzkrkH2kzo9zaa9KTTr+5fbt23Ms4fPPP7cnP6pVq1aO+QPNsGzZMlOEDiZbqFChNMXprfB6O/65c+dEg6Deph49ephepDqZk87QpRNAZZU0WKoBWE0tWrTIkM3apj1Tc+pJmuFgNiCAAAIIIIAAAggggAACCCCAAAIRIFCsWDGZPHmyTJgwQXr37p1jZ7EIqHJYqqBjfVp3Rt9+++2mo1xYKpLLT+p4AFRvAdcxLXWGLw0yTps2TXRs0PRJe1jqk6w9HrU3pPb+vPfee9Nnc3x906ZNpkwrUJv+BNZ4pNZkTun3Z7auY4pq4FIH9m3evHlmWextmzdvNu2tUKGC6P+ApE/ag7Zo0aLGb/fu3el3s44AAggggAACCCCAAAIIIIAAAgi4QkBjQzrcYCg6vLkCJF0lv/nmGzMsom7WybG1Ux0pOAKOToKkVSxXrpyMHDlSnnjiCdmzZ4+Z4V3HtNSZzePj403vyp07d8q2bdvsCLfe/q23hfs78ZAvNNbgu3FxcZkeZm23JkjKNFO6jTpWQ5kyZdJtzXw1p/PrUVoHDRBrHbKaEf7HH380EyZldhb11KTjsOot+f6k5ORk+zCti/W/EfbGCFzQQLombfeZM2cisIZpq2TVV7fqfxL4+1ylLTX4a3ptnD9/3jX19exJrddGdpOTBV/PtzPomMCer0Xfjg5tbr0mNOl17ZZr2bo29D+x3JA8/zNRrw2r/r7WPdD3c+u51ufZ31tzrDK4Xnx99rzP79T14v0Zncmp14a+T7vtfURbr+8lOqxRpCfr9ae3JbqpvurqpmvD+vx2y7Wsd8BZSa+NnIb0svKmf9TPJs/3n/T7c1rXY7UMf92s61vPw/WSk7b/+z2vF/2t6O/14n8NfD/S+u2VlJTkqt+22tJAXhO+SwV2RPrfivqaPHz4cGCFBvFoz/crva79/X7tbxX1nAMHDrQPf/zxx008yJt4hlp71t8uJIIX9Hrw9/3d+h3v+T7va1MdD4BqBfRJq1Klijz44IMmCKoNXLNmjflLX8GaNWvK+PHjQ/a/AdbkTFagM319tIu2Jitf+v2ZrXsb/PQsN6vzax5v6rBr1y4zgVNm9bHK1heENy+czMrw3Kbl6J9bktvqq676gezEcxXK58ht9VUb/UAL9YdaIM+J2+prtdVt14bb6qvO+mXH3y88Tr2fq5v1Y8J67v15dJu/2+ob6PXiz3Ma6DGBXN+BnjuQ460v5oGUEcpj3VZftdEfPW57DbqtvursGdzSdV+Svn4D+WzQY7UMJ9y4Xnx55vzPG8j14v9Z/T/SbfXVlrr5t6L+x7tbfn/pe0YgwTV/rsqJEyeKdefvVVddJZ07d/baKxz19aeN6Y/x9/3die8tQQmAagP1VvCNGzeasR70UW/93rJli5nsJyEhQfSvadOm0q1bNzPxUHqUYKx7fgjqbeaZJb19X5MTuJmVb/W8yer8eoxVB38vjMzOyzYEEEAAAQQQQAABBBBAAAEEEEAgFAIauA1WXCUU9Q/2OTTwOWXKFPs0zz//vOTPH7QQnX2eaF4Iqm7x4sXlueees331BRDOW220a77O/q63Dmb1QrS2B+t2fB3TQVN2//Nk1SG7Wws1wFy9enXb1nNBe6927drVjCV68cUXe+7yellvDbACsNojNVgeXlfIi4z6v8Xa21gDyOknuPLi8JBn0deDdTtAvnz5pESJEiGvgz8n1GtDr9FSpUr5c3jIj9H/dLD+48Et14YiHTp0SHRiNf1zQ9Jr2XqPd8u1oZ8F+n6p9Q3nZ5O3z6++7vQ2M036WWZ9nnh7vJXP+k82a93XR+s2N/18ye5zKrtyuV6y03Fmn1PXizO18b6UI0eOmO8cgV6n3p8xsJx627vVs0Un07ReH4GVGtyj9TuoNSuvG35oaa91HT9Ok77nZNeJILhyvpVu1Vl/D7kh6eeL9RtE7ybz99rQ3wz6vdbfpMdqGf7+huF68Vfet+M8rxe9xq0h2HwrJbS59b1a37Pd8ttWO2/pZ6ImfT1ad3mGVs33s+lvRf2c0c9E/azR76yRnLSu1ue4vvf4+97nTxt16EgrLnTPPfdIgwYNvCpGf3Pp7xh93bnhtaeNsn6P6/ckvTb8SdZnVCC/24IaAE3fqEAqmr4sf9f1w1TH1rR+RKYvx9ru7w/L9OWlX7c+zPXNIKvkTR00WJZVwMx6o9QvEP6+IDy/wOubgL/lZNXGYGy36uyW+uobl5X0teEGY62vXlduq6/lHMhrwiojlI9uqq9eE9Y17ZZr2frCofWNhM+nnK4t68uZ5gvk2tBjnUjq5u9zzfXixDOQfRlOXS/Zn8X5vXpt6Oe5v9eW8zXKvkTP9w6ts/VdJPujwrvXur1P6xvKH3r+ttr6bNHj3XRtWNeCG6/lQL5L62vC83Xh6/NuHe+vG9eLr+L+5beubz06kOvFv7P7d5R1XbqlvtZ7tbZW6+7va8I/Lf+P0mtD66vOGqTzvFb8LzV4R3rWT5c914N3VpFFixbJt99+a06hwe1+/fr5fO5Q1tdJC3+vZes1Yb2W/amT47PA+1OJUB5jBSCtIGP6c1uByayCi+nz+7qe0/m1vGDXwdc6kx8BBBBAAAEEEEAAAQQQQAABBBDwRkB7guodmqSMAhrvGTZsmL1Dg5/+9oq0C2HBK4GoC4CWLl3awGzfvj1TIGt7tWrVMt0f6Ebr/NoLNbOJKPR2Ge3BqdF8HSeVhAACCCCAAAIIIIAAAggggAACCLhBQHtiZ9XhzA31D3Ydx44dKwcPHjSnufHGG6Vjx47BPiXl/69A1AVAmzVrZpr+1VdfZbgItEvt119/bbbr7PTBSOXLl5eqVauK/o/Ijz/+mOEUS5cuNf9TonncMvZfhkawAQEEEEAAAQQQQAABBBBAAAEEokZAO3jpnBw6zFRmnb2iBiKbhv78888yc+ZMk0OHCRgxYkRAw4Zkcyp2ZSIQdQHQevXqSXx8vGzdulWWLFmShmTWrFlmUppKlSpJ3bp10+z77rvv5Msvv5QdO3ak2e7PSufOnc1h06dPT/M/IwcOHJD333/f7NNBcEkIIIAAAggggAACCCCAAAIIIIBApAssXLhQ2rRpI6+++qpobIOUVkCHBOjfv789b0LPnj3lqquuSpuJtaAKhHQSpKC2xMvCdcBUvdAGDRokL774oqxcudLcar5hwwazrAOy9u3bN0MUfty4cbJ3715z7OWXX+7l2TLP1rhxY9Fb7Ddv3iw9evSQJk2amJnHtFeqzoxbv359adq0aeYHsxUBBBBAAAEEEEAAAQQQQAABBBCIEAG97X3KlCmiM3V/+umnctNNN4k1/F+EVDHs1ZgxY4Zs2rTJ1OOyyy6T3r17h71O0VaBqAuA6hPcqFEj878SGgDVW871T5P2DO3Tp49ce+21Zj1Y/+gMvK+//rqpwxdffCHa81STbu/QoYM8/PDDPs8AFqy6Ui4CCCCAAAIIIIAAAggggAACCCCQlYB25rLmU9E7auvUqZNV1qjcvm/fPnn55ZfttuskSIUKFbLXWQiNQFQGQJW2Vq1aMnfuXNPjUick0v+dKFu2bJaBxzlz5nj9jLz99ts55i1YsKA899xz8swzz8i2bdtMN+gKFSpITExMjseSAQEEEEAAAQQQQAABBBBAAAEEEIgEgbfeesuuRvv27e1lFv4WGDJkiJw8edKstGzZkjt+w3RhRG0A1PIuVaqU6F+4kg58W6VKlXCdnvMigAACCCCAAAIIIIAAAggggAACfgn88MMPokMKaipTpowZ0s+vgnLpQTrR9meffWZapx3eNBhKCo9AUAOgW7ZskeXLl8uePXvk4MGD5q9AgQJSrlw583fppZfKLbfcYpbD03zOigACCCCAAAIIIIAAAggggAACCCDgj8CkSZPsw9q1a2eG9rM3RPnCmTNnzPwzFsPTTz9t7jy21nkMrYDjAdBVq1bJm2++aWZM/+uvv3JsjU5KVLt2bbnzzjtFZz6vWrVqjseQAQEEEEAAAQQQQAABBBBAAAEEEEAgfAI6qc93331nKhAXFye33npr+CoTgWfWybS1Q6Cm6tWry/333x+BtYyeKuV1oqk649fChQvN5EJ169YVnd0qs+CnzrCut3x7Jj129erVJip+9dVXy9133y3r1q3zzMIyAggggAACCCCAAAIIIIAAAggggEAECUyePNmujfb+1LlOSH8L6B3Rlo92/NNJuHXia1L4BNJGI/2oh4710L17dxPEtA7XW9y1R+dVV10lFStWFJ3cRx91kiF94o8fPy6HDh0ykfCVK1fKihUr5Pvvv5djx47J/Pnzzd8dd9whr732mlx++eVWsTwigAACCCCAAAIIIIAAAggggAACCIRZYNeuXfbYloULFzYxoDBXKWJOrx39+vfvLykpKaZOXbt2leuuuy5i6hetFfE7AHru3DkZMWKEjBw5UpKTk6V8+fLSoUMH81e/fv0sZ1NXaO0arX+VK1c2Y4DqtvPnz8vnn38uU6dONb1JP/nkE1m2bJmMGTNGevXqZQKnmo+EAAIIIIAAAggggAACCCCAAAIIIBA+gSlTpogG+jRpB7bY2Fg5e/Zs+CoUQWeeOXOmrF271tRIJ4bq27dvBNUueqvidwC0RYsWJkAZHx8vAwcOlPvuuy/D7e2+sObNm1datWpl/g4cOCATJkyQl156SR599FHRrsM6dgIJAQQQQAABBBBAAAEEEEAAAQQQQCC8AtqrUe/u1Y5r7du3D29lIujsGs/SjnxWGjp0qAkOW+s8hk/A7zFAk5KSZPTo0SY4+eCDDwYU/Ezf/NKlS8vgwYNl27ZtJgCqFxAJAQQQQAABBBBAAAEEEEAAAQQQQCD8AgkJCfLvf/9b3nvvPSlVqlT4KxQhNRgyZIgkJiaa2uikUC1btoyQmlENv3uAapQ/JiYmqIIaCH3jjTfk5MmTQT0PhSOAAAIIIIAAAggggAACCCCAAAIIeCegQT4dyrBo0aLeHRAFub7++mtZvHixaWmRIkVk2LBhUdBq9zTR7x6ggQY/9YXibQr0XN6eh3wIIIAAAggggAACCCCAAAIIIIAAAlkL6NifJ06cyDpDFO45deqUGR7SavrTTz9t5sqx1nkMv4DfAdBAq96zZ0+59957zaxhqampgRbH8QgggAACCCCAAAIIIIAAAggggAACQRbQIRGJ46RFfvXVV+XPP/80G2vUqCEPPPBA2gyshV0gbAFQHSNi9uzZZtKjihUrynPPPSebN28OOwgVQAABBBBAAAEEEEAAAQQQQAABBBDIXIDen2ldNm3aJFOnTjUbdYLvUaNGSb58+dJmYi3sAmELgOqsWFu3bpVBgwZJwYIFzYRKV199tdStW9fMAH/06NGw41ABBBBAAAEEEEAAAQQQQAABBBBAAIG/BXSOlpSUFDj+V0CHd+zXr58ZD1U3devWTbQHKCnyBMIWAFWKypUry9ChQ81s78uXL5cePXrIb7/9ZmZ+L1eunHTs2NEMIEvX6si7cKgRAggggAACCCCAAAIIIIAAAghEl8Dx48ejq8E5tHbGjBnyyy+/mFzly5cXHfuTFJkCYQ2AWiR58uSRhg0byuTJk+XAgQOyZMkSad68ucydO1dat24teov8888/L/v27bMO4REBBBBAAAEEEEAAAQQQQAABBBBAIEQCOtFPcnJyiM4W+af566+/5KWXXrIrOnz4cNHZ30mRKRARAVCLZseOHebi0WDnJ598YjZr1+EyZcrIiBEjpGrVqvLFF19Y2XlEAAEEEEAAAQQQQAABBBBAAAEEEAiBAL0/0yJr7EqHBNDUsmVLadasWdoMrEWUQNgDoEeOHJGJEydKgwYN5Morr5QBAwbI9u3bzW3wq1evlg0bNsjatWvlxx9/lMKFC0ubNm1EZxwjIYAAAggggAACCCCAAAIIIIAAAggET0DHuHz55ZfNcIXnzp0L3olcVrJ22vv6669NrYsWLSrDhg1zWQuir7phC4AuW7ZM2rZtKzrW5yOPPCIrV66U2267TT744APZu3evvPHGG1K7dm37GalTp450795dzp49K6tWrbK3s4AAAggggAACCCCAAAIIIIAAAggg4LzAZ599JpMmTTLxGx3vkiSiPWF1Phsr6SRIpUuXtlZ5jFCB/OGql473+fHHH0tCQoI88MADcv/998ull16abXWKFSsmN9xwg+kpmm1GdiKAAAIIIIAAAggggAACCCCAAAIIBCSgd+xq0p6g8fHxZjna/9EhGg8ePGgYbrzxRuncuXO0k7ii/WELgOrkRo8++qjUr18/A5S+sPLmzdg5tW/fvqJ/JAQQQAABBBBAAAEEEEAAAQQQQACB4Anonbu//fabOYF2WNPJq6M9/fDDDzJnzhzDUKBAARk5cqToxN6kyBfIGGUMUZ27dOligp/vv/++vPbaa2nOqsHRO+64Q3755Zc021lBAAEEEEAAAQQQQAABBBBAAAEEEAi+wIQJE+yT3HvvvZl2VLMzRMGCDsmot7tb6fHHH5fKlStbqzxGuEDYAqBHjx6Vm266STQQunz58jRMiYmJ8umnn5r9K1asSLOPFQQQQAABBBBAAAEEEEAAAQQQQACB4AloT8f169ebE1xyySXMcP4/Eq+//rrs2LHDmOhwjr169QreE0DJjguELQCqs4jpC6pPnz4yZcqUNA375ptvZO7cuVKoUCFzm3yanawggAACCCCAAAIIIIAAAggggAACCARN4M0337TL7tixo+TPH7YRFO16hHNBhwKwxkPVeowaNUr0FniSewTCFgBdunSpXHHFFfLKK69IXFxcGrF8+fJJhw4dpGvXrrJhwwb566+/0uxnBQEEEEAAAQQQQAABBBBAAAEEEEDAeYE1a9bIjz/+aAouWbKktGrVyvmTuKhEnafmueeek5SUFFNrjVXpBN0kdwmELQB64sQJqV27drZaTZs2Nfv379+fbT52IoAAAggggAACCCCAAAIIIIAAAggELuDZ+/Oee+6J+p6O77zzjqxbt87AlilThsm5A7/EwlJC2AKgOvu7/o+CDiKbVdL9Oht8lSpVssrCdgQQQAABBBBAAAEEEEAAAQQQQAABBwR0MmprLpbixYuLTlIdzUnvSB47dqxNMHz4cClatKi9zoJ7BMIWAG3WrJns2rVLHnjgATl48GAaMe1ePHPmTHORNWnSRIoUKZJmPysIIIAAAggggAACCCCAAAIIIIAAAs4KbNy40R7vU4cm1LlZojkNGDBATp48aQhatmwpt912WzRzuLrtYRvFVl9ITz31lBkDdOHChVK9enUpX768HD9+XLZu3Sp//vmnGRt06tSprgam8ggggAACCCCAAAIIIIAAAggggIAbBLp06SI1a9aUd999V+688043VDlodVywYIHo/DWaihUrJsOGDQvauSg4+AJhC4DmyZNHdCb4K6+80rywtJv16tWrTYu1O3G3bt1kxIgRUq5cueArcAYEEEAAAQQQQAABBBBAAAEEEEAgygV0op/Y2Fjp1atXVEscOXJEhg4dahtoT9DSpUvb6yy4TyBsAVCL6tFHHxX909vet2/fbqLqXFSWDo8IIIAAAggggAACCCCAAAIIIIBAaAR0wuoLFy6E5mQRfBYNfh49etTU8KabbpJOnTpFcG2pmjcCYQ+AWpXUyY4qV65srfKIAAIIIIAAAggggAACCCCAAAIIIBAigdTUVElKSgrR2SL3NF9//bV8/PHHpoI6Buro0aMjt7LUzGuBkAVAd+/eLYmJiXLppZeasT11jM9jx455VVEdH5SEAAIIIIAAAggggAACCCCAAAIIIBAcAXp/igkA6+3uVtK5aypWrGit8uhigZAFQB9//HFZtGiRTJ8+3cz83rdvX3nvvfe8oqP7tVdMZEIAAQQQQAABBBBAAAEEEEAAAQR8FtDen9ppLdqT9vbcu3evYbj22mule/fu0U6Sa9ofsgBokyZNTM9PnfRIU4MGDSRfvny5BpKGIIAAAggggAACCCCAAAIIIIAAAm4U0OBntHc+++mnn8wk3fr85c+f39z6TtzKjVdz5nUOWQC0T58+aWrwyCOPiP6REEAAAQQQQAABBBBAAAEEEEAAAQTCI6CTUuvt79Gczp49K88++6xN0KtXL6lWrZq9zoL7BUIWAD148KCcPn3aLzHGW/CLjYMQQAABBBBAAAEEEEAAAQQQQACBbAUY+1PkjTfekG3bthknvXP5iSeeyNaMne4TCFkAVMdN0DFA/UnR3g3bHzOOQQABBBBAAAEEEEAAAQQQQAABBLIS0I5qpUqVivqxP7ds2SJvvfWWzTRmzBgpWLCgvc5C7hAIWQC0Xr16jPmZO64ZWoEAAggggAACCCCAAAIIIIAAAi4W2LdvnzRv3lxuvvlm6dixo1SuXNnFrfG/6jr506BBg0QfNd13331yww03+F8gR0asQMgCoP37949YBCqGAAIIIIAAAggggAACCCCAAAIIRIuA9ng8d+6cLFu2TGJiYqR3797R0vQ07Zw+fbr8+uuvZlv58uXTjAOaJiMrrhfI6/oW0AAEEEAAAQQQQAABBBBAAAEEEEAAAa8E9u/fL3PnzjV5dZbzzp07e3VcbsukY36++eabdrNGjhxpgsH2BhZylUDIeoBmpZaSkiILFiyQTZs2yY4dO6Ro0aJyxRVXSLt27SQ+Pj6rw9iOAAIIIIAAAggggAACCCCAAAIIIOCjgPb+TE5ONke1aNFCSpcu7WMJ7s+uM9/rncraC1bT3XffLY0bN3Z/w2hBlgJhDYD+9NNP0q1bN9m4cWOGCvbt21fef/996dChQ4Z9bEAAAQQQQAABBBBAAAEEEEAAAQQQ8E1Ae3/OmTPHHBTNvT/ffvttWbdunXG4+OKLZcCAAb5Bktt1AmELgB49elTuuusu0YF377//fmnVqpVcdtllcvjwYfnll19k3Lhxpht23rx5pX379q6DpcIIIIAAAggggAACCCCAAAIIIIBAJAl49v687bbbpEyZMpFUvZDUZffu3aIzvVtJJ0EqVqyYtcpjLhUIWwB09OjR8tdff8mHH36YIcDZpk0beeSRR+T666+XsWPHZtifS58LmoUAAggggAACCCCAAAIIIIAAAggERYDenyIXLlwwEx2dOXPGGGtnvKZNmwbFm0IjSyBskyCtXr1a6tWrl2Vws1SpUuai1Nvkk5KSIkuN2iCAAAIIIIAAAggggAACCCCAAAIuEpg0aZI99mfz5s2lbNmyLqq9M1XVoRZXrlxpCitRooT069fPmYIpJeIFwhYA1d6fFStWzBZI9+skSTozFwkBBBBAAAEEEEAAAQQQQAABBBBAwHeB9L0/u3Tp4nshLj9i79698uKLL9qtGDhwoJQsWdJeZyF3C4QtAJqQkCCrVq2yZ9zKjPnbb78VHQNU85IQQAABBBBAAAEEEEAAAQQQQAABBHwXmDp1qh1/idbenzrru3WHsRrccccdvkNyhGsFwhYAbdu2rezcuVN69eplX4CeivPmzZNXXnlFGjVqJEWKFPHcxTICCCCAAAIIIIAAAggggAACCCCAgJcCGnv55z//KTExMWbCaS8PyzXZ5s+fL0uXLjXt0QmPRowYkWvaRkO8EwjbJEgPPPCAvPPOOzJ9+nT55JNPpEGDBmYWeJ0dXmeB1z8NfOoYFSQEEEAAAQQQQAABBBBAAAEEEEAAAf8E4uLipFu3btKpUycpWLCgf4W49KgDBw7I0KFD7do///zzUrp0abtHrL2DhVwtELYAqN7a/tVXX5mo+5gxY+Sjjz5KA60zcY0bN47b39OosIIAAggggAACCCCAAAIIIIAAAgj4JpCYmCipqalRF/xUpQEDBsjx48cNmN5l3LFjR9/wyJ0rBMIWAFW9/Pnzy+DBg0UHnt21a5f8/vvvorO/V65cWbRLMgkBBBBAAAEEEEAAAQQQQAABBBBAwH+BCxcuiAZAozEtWLBAvvzyS9P02NhYGTVqVDQy0Ob/EQhrAFSfgeTkZHO7+/r162Xz5s1yxRVXmG3XXXedFCpUiCcJAQQQQAABBBBAAAEEEEAAAQQQQMBPgRMnTpjen34e7trDDh48aDrdWQ3QnqDly5e3VnmMMoGwBkB3794t7du3lzVr1mRgv+SSS+Tjjz+Wm266KcM+NiCAAAIIIIAAAggggAACCCCAAAIIZC9w/vx50QBoNCYd69O69V3nnencuXM0MtDm/xUIWwBUb3fX4KZejA8++KCZ7b1s2bJy+PBh2bhxo0ycOFGaNm0qs2fPljZt2vCEIYAAAggggAACCCCAAAIIIIAAAgj4IKC3vmsQNNqSdqj7/PPPTbN15vvRo0dHGwHtTScQtgDo3LlzzRgUy5Ytk5tvvjldtUSeeuopqVOnjrz44osEQDPosAEBBBBAAAEEEEAAAQQQQAABBBDIWiBae38eOnQoza3v/fv3l0svvTRrKPZEhUDecLVy8eLFctddd2Ua/NQ6XXzxxdKvXz9ZvXq1HDhwIFzV5LwIIIAAAggggAACCCCAAAIIIICA6wT01vdo7P2pt74fO3bMPF/a4e4f//iH6547Kuy8QNgCoHnz5s1xkiOdEV5frElJSc63nBIRQAABBBBAAAEEEEAAAQQQQACBXCigsZRonPl90aJF8tlnn5lntEiRIjJmzJhc+OzSJH8EwhYAvfXWW2XhwoWydevWTOt94cIFefvtt82s8DozPAkBBBBAAAEEEEAAAQQQQAABBBBAIGsBnWy6W7dusnz58qjr/am3vg8aNMjG0VvfL7vsMnudhegWCFsA9LnnnjO3vzdq1EjGjx8v27Ztk3PnzplJkFasWGFuj//kk0/MuA1btmwRz7/U1NToftZoPQIIIIAAAggggAACCCCAAAIIIJBOQOMr33//vTz88MOivSGjKQ0cOFCOHj1qmqyTbnPrezQ9+zm3NWyTID3wwAOi44BqeuKJJ7Ks6f33359h38GDB80YoRl2sAEBBBBAAAEEEEAAAQQQQAABBBCIQoHt27fbQc+CBQtKgwYNokZBg71Lliwx7bVufc+TJ0/UtJ+G5iwQtgBoZjO/51zdv3PoC5mEAAIIIIAAAggggAACCCCAAAIIIPC3gPb+tCY9atOmjZQoUSIqaLSTnPb+tJLecVyhQgVrlUcEjEDYAqCPPfaY6B8JAQQQQAABBBBAAAEEEEAAAQQQQMB/gd9//92+y7ZQoULSsWNH/wtz2ZE61qfnrO9du3Z1WQuobigEwjYGaPrG6WC1GzZsSL+ZdQQQQAABBBBAAAEEEEAAAQQQQACBbARef/110cmkNbVt21aKFy+eTe7cs2v+/Pny5ZdfmgbFxMSYWd+59T33PL9OtiTsAdCVK1eKRud1Zq4PP/zQybZRFgIIIIAAAggggAACCCCAAAIIIJCrBXTS6M8++8y0Uce/7NChQ65ur9W4/fv3y5AhQ6xVcxs8s77bHCykEwjLLfBJSUkya9YsmTBhgvz888/pqsQqAggggAACCCCAAAIIIIAAAggggIA3Atr700rt2rWTYsWKWau5+lHH+jxx4oRpY+PGjeXee+/N1e2lcYEJhDQAumnTJhP0fPfdd+2LNLDqczQCCCCAAAIIIIAAAma/MWQAAEAASURBVAgggAACCCAQnQIbN26Ur776yjRebwG/++67owJi9uzZsnTpUtNWDfiOHj06KtpNI/0XCHoA9Ny5c6JjMmhvz+XLl2eoqc7ort2zv/nmmwz72IAAAggggAACCCCAAAIIIIAAAgggkLnAq6++au/Q2EpsbKy9nlsX/vzzTxk+fLjdvMGDB0vZsmXtdRYQyEwgaAHQXbt2yaRJk2TKlCly4MCBDOdOSEiQhx9+WB544AEpVaqUXHfddcJAtRmY2IAAAggggAACCCCAAAIIIIAAAghkENBJj+rUqWOGFtR4Svv27TPkyW0btM19+/YVHVpRU7NmzaKm12tuey5D3R5HA6Dnz583A+9qb8/FixeLrnumiy66yMxGpoHPpk2bEvD0xGEZAQQQQAABBBBAAAEEEEAAAQQQ8FJAg54PPvigNGjQQHbu3CmFCxf28kj3Zps5c6Z89913pgE60/3IkSPd2xhqHlIBRwKgBw8elGnTpslbb70lO3bsyNCA+Ph46dmzp3Tv3l3KlCmTYT8bEEAAAQQQQAABBBBAAAEEEEAAAQR8Ezh27Ji57b1GjRq+HejC3H/88UeagKfeBl+6dGkXtoQqh0MgoACoBj779Okj8+bNk7Nnz6apf758+aR169bSq1cvadGiheTNmzfNflaCL6A9cFNSUvw6kWfv3dTUVL/L8evkfh6k9dQUSLv9PLVfh2nXfSvpsr/PlVVGqB6ta8Nt9VUft1wb1nPptvpa9XbbtaH1dcMQLNZ7XKDXsmc51nPmz6O66Wd9oInrJVDBzI+33qt1r9veS9xUX8/Pcr2W3fB913oPcMtrz6qv265l69pwi7NVX3XWOvv7uajleJal5fmSrOP9deN68UXb/7yenzFq7u/z5X8NfD/SqqNb6utprK8Lq/7pW65zrpw8eTKg1136MgNZt17/nvUPpDzPY7XMp556Sk6dOmU2t2zZUu64444Mdx57HpPTslVfzafLwah3TnXwd7/b6mu1M6tr2dqf1aN1nOdzllXerLYHFADNnz+/xMXFiU5kZAVACxUqJP/+97/loYcekssuuyyr87I9iALWBXHixAnRIHWg6fjx44EWEdLjtd1uS/pB7MRzFcp2u62+apOYmGj+QukUyLn0y4z+uSnp+4/bro1Dhw65idjUVb/4WV/+fK28NV6Sr8dZ+a0vhvo86+d/IInrJRA9748N5Hrx/izO5dTPxDNnzjhXYIhKOnz4cIjO5Mxpjh496kxBISxFf2+47TPGbfXVp1N7k/mbNBhToEABfw8Xff1rGU64cb34/TT4dGAg14tPJ3Ios9t+22qzNfCT1WtCf98kJyc7pONcMf5+T82uBm+//basXr3aZClZsqT079/f7+/DmZ3Himllti8St+l7pf65KenviKyu5ZzaYT0/Vrwrp/yZ7Q8oAFqiRAkZP368jBo1SmbNmmVmev/555/lgw8+EB2LwZrgKLMTsy14Atb/2MbExMj/Z+9O4KUe////v4r2fVdK2iQSlfRJESGRJTufkLRQKQqlPX2kImsUCclHUSLSYsuWkIgSJdGq0q49yv/7vH7/9/sz53ROnTPnPXPeM+dx3W5z5j0z7+W67vOeOTOvua7XpecomqKgi/di0ixyyt8a9qIXk/6hqd1Z+eAVr3bqhet9YFAvqqJFi8br0Fk6jv6Z6dzQjx+JUPQles+ePa6qBQsWzHLAJl5t1hdT5fDRj0qJUHQue/+Mon3fiXc79U9U57POZe99M951yMzx9LrzAuI6L6LN8aTXQVaKZ6XnOdoAKOdLVp6BjG0b1PmSsaMFt5b+j+szR1bP0+BqdPg96UdXBWxU9Nk3EXqA6ouyfgjR544genEfXijrj+qLv77gq+jznT7nJULx6lykSJFEqK77/+J99led1dElmqLXb1ZeBzontY9oP0twvkTzrGV+m8jvilk5XzJ/5Oi30Hu13rMT7butWpzed0W9ZvVZNkzv5fofo+/l0X5GTO8ZXrZsmT355JP+ww888IBVqFDBvx3tgt4zdFHRe0+YLA/XJn3HTbT6qj36HhFtHMELgHrfRQ7nk95j0f1nS7U3vYloYiNdvvjiCxcI7du3r+lyzTXXuGHwjRs3TrUVN2MtoBdEtMETnVzehyB92Az6DSwWbfe+gGSl3bGoV3r79IJFelwv4mifq/T2H6v7dV7oH1ui1Nf7hyaPRDk3vOdOXz4SxVnnsM7pRDqXvfcMGWflH6n3fMX6OvI9Iyvnhl4HWSmeldyi/d/A+ZKVZyBj2wZ1vmTsaMGtpS+n+vKRKO99CiRGvpdkJfATnOLh9+S9hvX6jTbIdfgjBPuo93lUe02kc8Pr/ZQo57L3Y7GcdW5E+79Cr4GsvA50fmr7aN04X/QMxr5E9tLXd8VE6HzifSdIlO+2XucePZvpvSb0o2HY3sf1P1F1D7Jeeu40yth7fV911VV28cUXB3Kiq65e0f+YIOvt7TdW1zovEqm+ctB7fLTv797nF+86GtfAE3M2atTIxo8fb2vXrjVF5RUQ1YxkderUsVGjRrlfXaKpKNsggAACCCCAAAIIIIAAAggggAACOV1AQejIQHQye4wcOdJ++OEH18Ty5cvbwIEDk7m5tC2GAoEHQL26lipVyu655x5TV+VZs2ZZ1apVrVu3bnbssce6nqILFizwVuUaAQQQQAABBBBAAAEEEEAAAQQQQCADAl4qtQysmtCrLFy40KVd9BoxYsSIhEkd59WZ6/AIxCwA6jVR3VM1C/zUqVNtxYoVbtb4adOmWb169axhw4Y27v8S2UYOufC24xoBBBBAAAEEEEAAAQQQQAABBBBA4H8CSrHh5UP8373Jt6Qerpr13Us1c/PNNxupFZPveY5ni2IeAI1sjGaFHzx4sK1atcomT57sEhC3bdvW9Qr99ddfI1dlGQEEEEAAAQQQQAABBBBAAAEEEEDg/wSmT59uH3/8sT+RbrKjPPzww/bLL7+4Zh5//PHWu3fvZG8y7YuxQFwDoF5blKj16quvtg8//NCWLFliiuTrvsiE/d66XCOAAAIIIIAAAggggAACCCCAAAI5VUC9PjXHiiae7ty5s5v9PZktvvzyS3v++eddEzXZz6OPPmoFChRI5ibTtjgIZEsANLJdNWvWtMcff9x+//13u/HGGyMfYhkBBBBAAAEEEEAAAQQQQAABBBDI0QIvvfSSbdmyxRloFu2CBQsmrcfOnTvdfDJeAzt16uRSKHq3uUYgWoFsD4B6FVc0v3r16t5NrhFAAAEEEEAAAQQQQAABBBBAAIEcLfDnn3/a2LFjfQOlEUzmorSJa9ascU2sVauW3XnnncncXNoWR4GoA6BjxoyxXbt2xbyqa9eutQkTJsT8OBwAAQQQQAABBBBAAAEEEEAAAQQQCJPAyy+/bOoVqaJJgE488cQwVS/QunzwwQc2adIkt888efK4oe958+YN9BjsLOcKRB0AHTFihNWoUcNeeOEFf1auIBn1K0efPn3cMd54440gd82+EEAAAQQQQAABBBBAAAEEEEAAgVALbNy40V5//XVXR+XCTOben5s3b7ZevXr5z4dmgFcPUAoCQQlEHQAdOHCg7du3z9q1a+dOyueee862bt2a5Xr99NNPLt9D1apVbejQoVa2bFnr2rVrlvfLDhBAAAEEEEAAAQQQQAABBBBAAIFEEVDuz/3797vqnn/++XbcccclStUzXc/77rvPFARVOf30092ET5neCRsgcBiBqAOgrVu3th9//NHN5r5s2TLr2LGjlStXzi666CLXK9Q7cQ9zbPfQgQMHbMGCBfbkk0+67twnnXSSPfLII+7E79Chgy1atMiaNm16pN3wOAIIIIAAAggggAACCCCAAAIIIJAUAqtXr7aZM2e6tmg4+M0335wU7UqrEa+99pq9//777qFChQrZY489ZurxSkEgSIGjs7IzBTwnT55sU6dONfUIXbhwoc2aNctd1DO0RIkS7heKSpUqmXfJlSuXbdq0yV2U2HbevHm2Y8eOFNVo0aKF9e/f384888wU93MDAQQQQAABBBBAAAEEEEAAAQQQSHaB559/3k83eOmll7rRscnYZgV6NfGRVxRbUvyIgkDQAlkKgHqVadWqleny3nvvmXKDepF7DYnX5fvvv/dWTfc6f/781rJlS+vdu7fVr18/3fV4AAEEEEAAAQQQQAABBBBAAAEEEEhWgcWLF9vHH3/smqdYyQ033JCUTT148KB1797dn2C7efPmdu211yZlW2lU9gsEEgD1mqGTVRcNiVcQdPbs2fbpp5+aEvemLvny5bNjjz3WzjnnHNOvGRdccIGpqzMFAQQQQAABBBBAAAEEEEAAAQQQyKkCSilYunRpN3L2iiuusGLFiiUlxTPPPGPz5893bVN7NQ8MBYFYCQQaAPUqqdnhdencubO7S5Mladi7AqF58+a18uXLu+Hx3vpcI4AAAggggAACCCCAAAIIIIAAAgiYnX322fbss8/atGnT7MILL0xKEvVyVa5PrwwfPtxKlSrl3eQagcAFYhIATV1Lr7enenxSEEAAAQQQQAABBBBAAAEEEEAAAQTSFtDM75o/5bLLLkvKyYDUSe6uu+6yv/76ywFcf/31dt5556WNwb0IBCTAtFoBQbIbBBBAAAEEEEAAAQQQQAABBBBAIKsC27dvz+ouQr39Qw895FInqpLHHXecmwQ71BWmckkhQAA0KZ5GGoEAAggggAACCCCAAAIIIIAAAokusHfvXtuzZ0+iNyPd+s+dO9c0w71K7ty53TB45oNJl4sHAhQgABogJrtCAAEEEEAAAQQQQAABBBBAAAEEohVI5t6faluPHj18mk6dOln9+vX92ywgEEsBAqCx1GXfCCCAAAIIIIAAAggggAACCCCAQAYEdu/ebeoBmqylT58+tn79ete82rVruzygydpW2hU+AQKg4XtOqBECCCCAAAIIIIAAAggggAACCOQggX/++ce2bduWtC2eMmWKTZ8+3bUvf/789sQTT1iePHmStr00LHwCBEDD95xQIwQQQAABBBBAAAEEEEAAAQQQyEECu3bt8mdFT7Zmr1692gYOHOg3q1+/flatWjX/NgsIxEOAAGg8lDkGAggggAACCCCAAAIIIIAAAgggkIbAwYMHLVlzfx44cMANdd+5c6drebNmzezGG29MQ4G7EIitAAHQ2PqydwQQQAABBBBAAAEEEEAAAQQQQOAQgbVr19obb7zhgp9///33IY8nwx2jRo2yb775xjWlVKlS9tBDDyVDs2hDAgoEHgAdM2aMi+7/+OOPGeb4z3/+Y2eeeaYNHTo0w9uwIgIIIIAAAggggAACCCCAAAIIIJCoAsqD2bt3b7v++uvtl19+SdRmpFvv77//3h5//HH/8YcffthKly7t32YBgXgKBB4Afeutt1wy299++y3D7fj444/tiy++sMwETTO8c1ZEAAEEEEAAAQQQQAABBBBAAAEEQiSwZMkSe/vtt12N1q1bZyVKlAhR7bJeFc1of9ddd5mGwKto2LuGv1MQyC6Bo7PrwDquXgjLli0z/SqgUrBgQXfNHwQQQAABBBBAAAEEEEAAAQQQQCBZBdQbUjO/q1x55ZWm4eHJVDTS1+sYpwmPNPERBYHsFMhSALRly5b24Ycfpqj/X3/95W5fccUVljv34TuYal0l+/XK6aef7i1yjQACCCCAAAIIIIAAAggggAACCCSdgEbAzpkzx7WraNGidu211yZVG9977z2bOHGia9PRRx/tRgnnz58/qdpIYxJPIEsB0EceecTq1KljXtAzsvlp3Rf5eOrl2rVrW6tWrVLfzW0EEEAAAQQQQAABBBBAAAEEEEAgKQTU61O9P73SunVrK1SokHcz4a83btxovXr18tvRo0cPU7yHgkB2C2QpAHriiSfa6NGj7euvv/bbMXPmTFu1apVddNFFdtxxx/n3p7WQJ08e90KvUqWK+8Uj2XJepNVm7kMAAQQQQAABBBBAAAEEEEAAgZwpMGPGDFu8eLFr/DHHHGOXXHJJ0kAouHvffffZ1q1bXZsaNmxot99+e9K0j4YktkCWAqBqert27dzFY9CweAVAu3TpYlqmIIAAAggggAACCCCAAAIIIIAAAjldYP/+/fboo4/6DG3btjV1DEuW8sILL9iXX37pmqOh/Y899tgRUyMmS9tpR/gFshwATd3Em266yc4880yrWbNm6oe4jQACCCCAAAIIIIAAAggggAACCORIgVdffdXWrFnj2l6jRg0755xzksbhhx9+cAFPr0HDhg2zChUqeDe5RiDbBQIPgF5//fXZ3igqgAACCCCAAAIIIIAAAggggAACCIRFYOfOnTZq1Ci/Ou3bt7dcuXL5txN5Yc+ePXbnnXf688NoUqeLL744kZtE3ZNQ4PDTtCdhg2kSAggggAACCCCAAAIIIIAAAgggEE+BdevWmTfvSf369a1u3brxPHxMjzV48GBbvny5O4bmghk0aFBMj8fOEYhGIPAeoJGV+OOPP2zp0qW2e/du+/vvvyMfSnP5hBNOMHUDpyCAAAIIIIAAAggggAACCCCAAALJIqBYx4QJE9zl5JNPTpZm2axZs2zixImuPUcffbSb4b5gwYJJ0z4akjwCMQmAKujZr18/mzp1aoYCnx7nwIED+aXAw+AaAQQQQAABBBBAAAEEEEAAAQSSQuDAgQOmYfDJNOv7+vXr3azv3hOkYfC1a9f2bnKNQKgEAg+A7tixwy677DL7+eefQ9VQKoMAAggggAACCCCAAAIIIIAAAghkh8D27dvt4MGD2XHomBzzn3/+se7du9u2bdvc/hs1amTKa5pMbYwJHDvNNoHAA6DK/eAFP9XF+4YbbrDjjz/ejjnmmCMm+K1evXq2QXBgBBBAAAEEEEAAAQQQQAABBBBAIGgBpQRU789kKs8++6x98cUXrknFihVzM8Dnzp2bAGgyPclJ1pbAA6Bz5sxxREro+8EHH1jJkiWTjIzmIIAAAggggAACCCCAAAIIIIAAAhkT2Lp1q6nHZLKU77//3kaMGOE3Z9iwYa7T2759+/z7WEAgbAKBzgKvnBZ6IajceuutBD/D9mxTHwQQQAABBBBAAAEEEEAAAQQQiJvA3r173cTQcTtgjA+knqxdu3b153vRqN+LLrooxkdl9whkXSDQAOhRRx1lhQoVcrVSD1AKAggggAACCCCAAAIIIIAAAgggkFMFvByZydL+vn372qpVq1xzlMZwwIABydI02pHkAoEGQGWlxLcqK1ascNf8QQABBBBAAAEEEEAAAQQQQAABBHKawK5duyyZhoVPmTLF3nrrLfc05suXz0aOHGkFChTIaU8r7U1QgcADoM2aNXMUY8eOTVASqo0AAggggAACCCCAAAIIIIAAAghEL6Ccn8nU+1Od3Pr37++D9OnTx2rVquXfZgGBsAsEHgBVLogrr7zSPv74Y+vWrZvt2LEj7AbUDwEEEEAAAQQQQAABBBBAAAEEEMiywPr1600dwjZv3uznyczyTrN5B3/99Zfdcccdfi7T888/39q0aZPNteLwCGROIPBZ4BcvXmwdOnSwefPmue7Qr776qtWvX98qV65sZcqUOWzt1Hv03HPPPew6PIgAAggggAACCCCAAAIIIIAAAgiEUeDRRx91w8RfeuklUy/Jk046KYzVzFSdHnroIfvhhx/cNuXKlbOHH344U9uzMgJhEAg8ANq7d2+bMWOG37aNGzfarFmz/NuHWzj66KMJgB4OiMcQQAABBBBAAAEEEEAAAQQQQCCUAuoQ5uXI3L59u5UtWzaU9cxMpT755BN77rnn3Ca5cuWyxx9/3EqUKJGZXbAuAqEQCHwIfChaRSUQQAABBBBAAAEEEEAAAQQQQACBOAoMHTrUP9pVV11lpUuX9m8n4oI6tN19991+1bt06eJPfO3fyQICCSIQeA/Q1157Leo8F/nz508QNqqJAAIIIIAAAggggAACCCCAAAII/D+B9957z77++mt3o2TJknbdddclNI0mcVLwc9OmTa4d9erVs7vuuiuh20Tlc7ZA4AHQwoUL52xRWo8AAggggAACCCCAAAIIIIAAAjlGYP/+/TZ8+HC/vW3btrUCBQr4txNx4dlnn7VPP/3UVb1IkSL25JNPmtIWUhBIVIG4DoHftWuX7dy5M1GtqDcCCCCAAAIIIIAAAggggAACCCCQQmD8+PG2Zs0ad1+1atXsggsuSPF4ot349ttvU0x0NGzYMKtYsWKiNYP6IpBCIKYBUOWLuOeee6xp06ZWoUIFU+/QgQMHugr89ttvdtZZZ9nrr79uBw8eTFEpbiCAAAIIIIAAAggggAACCCCAAAJhF9iyZYuNHj3ar2anTp0sd+6Yhlr8Y8ViQZM3devWzQ4cOOB2/+9//9tatmwZi0OxTwTiKhCT/svKFfHEE0/Y/fffb9u2bUuzQStWrLA5c+a4i15Q48aNszx58qS5LncigAACCCCAAAIIIIAAAggggAACYRPQrOjeSNfGjRtbnTp1wlbFTNWnV69efm/WmjVr2oABAzK1PSsjEFaBmPwsoTeA7t27u+CnckTUrVvXqlevnsLg77//9gOeEyZMMP1KQkEAAQQQQAABBBBAAAEEEEAAAQQSQeDnn3+2yZMnu6oq9tGhQ4dEqHa6ddRQ/lmzZrnHNUn1U089ZUxWnS4XDySYQOAB0EWLFlnv3r0dg7pJL1++3JQ/InWXaeXE0GMaBq+iHqBLly51y/xBAAEEEEAAAQQQQAABBBBAAAEEwiyg0a+nnHKKq+IVV1zhUv+Fub6Hq9uPP/5oQ4YM8VfRiN4aNWr4t1lAIBqBvXv32tSpU/2UCtHsI6htAh8C/9hjj9m+fftcr0/9EnK4mc8qVapk7777rkumq7wZzz//vD300ENBtY39IIAAAggggAACCCCAAAIIIIAAAjER0BDxp59+2mbOnGmnn356TI4Rj53u3r3b7rjjDhfL0fEuv/xyu+666+JxaI6RxALz5s2zkSNH2oYNG9wI8DZt2mRrawPvAfrdd9+5BqkX6OGCn16rtY7XO3TZsmXe3VwjgAACCCCAAAIIIIAAAggggAACoRVQ7zYFDzXxc6FChUJbzyNVrH///vbrr7+61SpXrpyiJ+iRtuVxBFILqIOjehP369fPBT/1uFJferlyU68fr9uBBkA1S9jixYtd3evXr5/hNrRo0cKtu2rVqgxvw4oIIIAAAggggAACCCCAAAIIIIBAdgho+Ht6kz5nR32iPeYbb7xhU6ZMcZtrYmr1aC1cuHC0u2O7HCyg18T06dOtXbt29sknn/gSSqWguYKy+7wKdAj8UUcd5RqkaO/27dv9xh5pYePGjW6VChUqHGlVHkcAAQQQQAABBBBAAAEEEEAAAQSyVWDXrl3+kPFsrUgWDq55WdRLzyt9+vSx2rVreze5RiDDAitXrnRBTq9TpDbUiO9u3brZhRdeaLlzB9r/MsP1ilwx8Bqceuqpbv8ffvhh5HEOu6w8oCq80A7LxIMIIIAAAggggAACCCCAAAIIIJDNAurplplOX9lc3TQPr+H7Xbp0cUP4tcL5559vbdu2TXNd7kQgPYH9+/fbSy+9ZJ06dfJHhGvdc845x2bMmGG33nqrqbNkGErgAdCGDRu6dg0ePNh++eWXI7bxxRdfdAmDtWJmhs0fccesgAACCCCAAAIIIIAAAggggAACCAQsoODn33//HfBe47u7QYMG2ZIlS9xBNRp3xIgR8a0AR0sKgaFDh9orr7zivx7KlCnjeoI+++yzFrZR3oEHQHv16mWa3X3Hjh1uFrRnnnnGT3oa+eyqe2z79u1dbgDd36RJE7vyyisjV2EZAQQQQAABBBBAAAEEEEAAAQQQCI2AAp9//vlnaOoTTUXeeuste/XVV92m6p2nmbqLFy8eza7YJocLtG7d2nLlyuUUrr/+etfB8aKLLgqlSqA5QNVCvWjU/VXdp/WriLrB6pIvXz4HMHHiRBs/frxt2rTJBylYsKCpJ2gYcgL4lWIBAQQQQAABBBBAAAEEEEAAAQQQiBDYunWraQh8ohbN9t67d2+/+urExmhcn4OFDAoo6Kn433nnnWf33HOP1atXz10yuHm2rBZ4D1C14txzz7Uvv/zS/vWvf/mN2rdvn1tet25diuCnsObPn2/Vq1f312UBAQQQQAABBBBAAAEEEEAAAQQQCJOA8mbu3r07TFXKVF1S5/1s1qyZdejQIVP7YGUE1IlRw9uLFi3qMDS6WwHQsJfAe4B6DW7QoIHNnTvXXn/9dXe9bNky00W/lJxwwglWo0YNFyi97LLLvE24RgABBBBAAAEEEEAAAQQQQAABBEIlMHbsWNeR6+qrr7Y8efKEqm6Zqcz9999vP/30k9ukfPny9uijj/rDlzOzH9bNmQJKl1CyZElTADQRS8wCoMJQl9hrrrnGXRIRhzojgAACCCCAAAIIIIAAAggggEDOFdiwYYM99dRTtmfPHnvzzTdNwVCv51siqbz99tumlIQqCmSpTeT9TKRnMPvqqthe4cKF3fmSyKkrYzIEPvueFo6MAAIIIIAAAggggAACCCCAAAIIBCPw8MMPu+Cn9nbaaaclZPDzt99+S5H3s2fPnuT9DOb0SMq9KFXCggULXNvU47lcuXKu52ciBz/VmJj1AP3999/t888/t+XLl9vmzZszdFI0b97cLrjgggyty0oIIIAAAggggAACCCCAAAIIIIBArAS+/fZbmzZtmtu9JnZOxHyZCmZ17tzZdu3a5dqhOVs6duwYKzL2m+ACmqPniSeesC1bttiECRPslFNOSZo0CTEJgD744IM2ZMiQTCcHLlSoEAHQBH+xUH0EEEAAAQQQQAABBBBAAAEEEl1A85coruGV66+/3sqUKePdTJjrwYMHk/czYZ6t7Kvotm3b7JlnnrHZs2f7lVCO2HHjxvm3E30h8ADolClTrG/fvonuQv0RQAABBBBAAAEEEEAAAQQQQCCHCii28cMPP7jWawiw5jdJtDJ16lTXi0/19vJ+lihRItGaQX1jLPD++++74OeOHTv8I9WqVcvuuece/3YyLAQeAB0+fLhz0Ytr6NChpl9JSpUqlaGZ0rQNBQEEEEAAAQQQQAABBBBAAAEEEMgugZ07d7oZ0r3ja8h43rx5vZsJcb1s2bIUeT979epF3s+EeObiV8l169a54e5K9eCV/PnzW7du3eyWW25xQXPv/mS4DjwA+tNPPzkXJdW99957k8GINiCAAAIIIIAAAggggAACCCCAQA4R0Azp3lwmp556qp111lkJ1fLdu3dbp06d/Mmbzj///ITMX5pQ6AlU2QMHDtgbb7xh48ePt3379vk1P/PMM00pEypVquTfl0wLgQZAheiVsE9mpCf59ddfNyV43bp1q9WoUcPN6NaiRYuootxLliyxyZMn28qVK025TJUotlmzZla1alWPJMX1Rx99ZAsXLkxxX+SN0qVLW+vWrSPvYhkBBBBAAAEEEEAAAQQQQAABBGIooImcX375ZXcEzXqtCYQSrfTp08d++eUXV+2KFSvaI488kjQT2STacxG2+v79999211132c8//+xXrXjx4q63cKtWrfz7knEh0ACohrDrl5GZM2e6oGJYwZTcVW9iq1evdlUsWbKkzZo1y13mzp1rAwcOzFT3dgVSNUuWSuHChW3//v2mLsSTJk2yYcOGWb169dxjkX/eeust++abbyLvSrGswCkB0BQk3EAAAQQQQAABBBBAAAEEEEAgpgL6Dq8gkcoll1xiVapUienxgt65Zu5W7k8VDdsfPXq0FStWLOjDsL8EFTj66KOtTp06fgD00ksvNQXMFRdL9hJoAFRYzZs3dwFQBf+uvPLKUPr95z//ccHPhg0bWv/+/d2bwdq1a93kTZ9++qk9+eSTGU72umjRIre+3lgUOFUAWG+WesPx9qM3oGOOOSaFhfJxqCi3Qr58+VI8phtFihQ55D7uQAABBBBAAAEEEEAAAQQQQACB2An069fPBgwY4GZOb9OmTewOFIM9a9Km+++/39+z4h0anUpBQAK5cuWyokWLuoDnqlWrXFqEs88+O8fgBB4A7dq1q82ZM8dee+01O+mkk0yJdtMK8GWX8I8//mjz5s2zAgUK2AMPPGBK8Kpy7LHHuiTHCtqqB+ttt92WoSDkSy+9ZP/884/deOON5p04efLkcTPE/f77726YvYKht99+u9/kP/74w/788083OVQiziTnN4QFBBBAAAEEEEAAAQQQQAABBJJIQDO+Kw/ipk2bMhQTCEvTFWPQSFcvp6N69t10001hqR71yGYBxeUiJyj30jxkc7XievjAA6AaBj9x4kS7+OKLXY/IMWPGWN26da1y5cp+sDG9Fqr3qC6xLB9//LHbfdOmTQ+pj7r8nnHGGfbFF1+4IOi111572KoosbCCqSoXXnjhIevqPg2Pf+edd6x9+/amrsYqXu/PmjVrHrINdyCAAAIIIIAAAggggAACCCCAQPwF1Llpy5Yt7sCalyORiiahVq8+lWrVqrl0fIlUf+oaGwH1+ixRokRCBfNjI2EWeABUFX3//ff9/JYaWq5LRoryZ8Y6ALp48WJXFQ1/T6t4AVBNUHSkAKhmvNcbpGbIqlChwiG7O/HEE91Jtn37dvdG5E2IlDoAqiHz+rUmJ+RcOASJOxBAAAEEEEAAAQQQQAABBBAIgcCOHTvsr7/+CkFNMleFsWPH2rvvvus20ijXUaNGucmZM7cX1k42AY18VpzJ64yXbO3LbHsCD4C++eabdtVVV7nAYGYrE4/1vWCsZrlKq3j3exMkpbWOd9+R9qX1tD+9iWp/qQOgCnx2797dFixYYAcOHHDB0gYNGri8oOqafLhy8OBBPzFz6vUi37AVoI2mRG6n5cjb0ewvHtt4dUy0+no2Xv2922G99nwTqb6epVd373bYrxOtvp5nop0biVZfOWfl3AiqvVmpg3eueG2JvB3WZc/Nuw5rPdOqV1DPVVr7Dvo+r644By37v/15tp71/x4J/1Ii1TnSOfyyKWuYVWev7Sn3mrlbQe0jiP1krubRre3V07uObi/x2yp1PVPfjl9NMn4kr4669pZTb63v5Fu3bk19d+hva3JlTdzklSFDhlh2jTZNz9arW9iuE62+8vPq7F17prqt2JNyfObOndv1+ixUqJB7OPW63jbZcR1tXbztvOto6h54APSNN95wT4h+dVDejFatWln58uVNeTGPVOIRld61a5erhhfoTF0nnSwq3nqpH4+87a2T3r60blr7++WXX9xulHNBKQPUU1TB0F9//dVmz55t8+fPd7PKV69ePfJwKZY1tF4JjdMqXn002/369evTWiVT9yXaPwH1uNUlkYqe/yCeq3i2OdHqKxv1tNYlUcrOnTtNl0Qq+oeUaOfGhg0bEonY1VX/f7z/QZmtfFZfA/oBTkXPc1ZzfHO+ZPbZi279rJwv0R0xa1vt2bPHdEm0ohzviVSU2y7Ryt69exPuf0yi/U/UObF58+aoTw3lHszI9770DqDPxNpHEG6cL+kpB3t/Vs6XYGuSsb0d7rutPnfv378/YzuK41r67JXedwL5a74RvXZUNKeJUvGlt368qp3dx4+mnXrPSKSic9U7X9esWeN6/ar+I0aMsIIFC7pgqAKiYSo6l6N9f/dy24YqAOrl2Bw0aJApB0WYirC9kzq9WdY1DF/Fwz1c/ZUDVCW9fekxb3/ecfUlRJMjqeiN6e6773YTMum27teMbZqo6cEHHzTlT41HUFjHpiCAAAIIIIAAAggggAACCCCQEwUUQPSCSYnSfvVYVcxl48aNrsrqWNW3b99EqT71DEBA560m3Z40aZIfBP/ggw9cR8QAdp90uwi0B6gCjOp1qNK4cePQYakbsHIgqFdBegFO7/68efMesf5ed+LDvVF6+/N6yej4EyZMcDPKnXbaaaaEtF5RHlH1mm3durWbKEkTLJ155pnewymulcQ2vW7tivZrWL3aG20AVW+mXmRd+9El7EX1Vb0Trb6ea7TPlbd9vK69cyNR6qv3JV1UEuXcUF31zyzR6qt6qyTauZFo9ZWx/ndoBEE0Jaj3c7lFa+f1UlD9o91HNG3Pyjbee0mi1Vdtzsr5khWzaLbVuZFo9fXaqddk5Oc67/6wXXuflxKtvnJMpHNDn5dUon2vdhvH8Y/3+c6rc7Tnsv7HRLutjq1ttY9o32u989vbVyL5e/a6DnsJ6nyJZzu9cyOt9z49ph6LQX1GCqJdqpMuXkmrbo8//rg/KbM6ZT3xxBN+5ypvu3hfR37vivexozmeV19tq/efrLx/RXP8aLdRvTWy+Omnn7aVK1f6u1G+z3LlykX9HurvKOCFID77e/9Xs1K1QAOgelE2adLEZs2a5XoxajlsRTO5KR9nel2Bvfu94Obh6u/NCne44YSp9ycjTZqkS1pFJ+spp5zihsFrSHx6AdALLrjAdEmraNa6Ro0aueH3ZcqUSWuVI96nIeReD1cNqfcCuEfcMBtX0AtCw8+UdkCB5rAX/UPzun/rQ160z1W826nzXT8iJEp99WHGex3qg4F+IEiEsm7dOpe43OtFHvY6axi5/hHrQ0OinBvqka/zWe/lifBhR68770dG/Y863OiDw50v0W7n7dP7AK7nOdr/DZwvnmbsroM6X2JXw7T3rP/jOq+KFSuW9gohu1fDyL3c63ov8V4fIatmiurox3l9VkyUSRHU0cAbYqsUW16qpxSNCuENbxbpRJnkVMOCvRFr6mgR7TB2bZeVoKO21T6i/SzB+RKfF4M+j+j/jIpekxnpPBSfmqV/FAVg1FNS/19Sf37RdwW1J0zt0HdFL92R/rek/g6jiac18ZFXFAxNr4OUt048rvU/Rtap6xuPY0dzDL1neB3adF5E++NLNMeOdhu9Vz///PM2ffp0v6OP9nX11Vdbr169/DSM0e4/Ftsp7qFzWudytO/vXufCrHzWCrxb33nnnee8NBlSGIsXtPQCIqnr6AUz9Y//SOVI+9L2mdmfd7yyZcu6Re/Dnnc/1wgggAACCCCAAAIIIIAAAgggkHUBdThSJxrvB+as7zE+e1CPP6XS80qXLl3Mi8N493GdnALffvutdezY0aZNm+YHP9W5bty4cabJr7w5aJKz9VlvVeAB0K5du7oXn3qBXnvttf6vFlmvajB78IKLerNLq3j316pVK62HU9zn7Us9Sr1f/yNXUC9K/fqrCHWNGjXcQ0uXLrWXXnrJJk+eHLlqimUviX7FihVT3M8NBBBAAAEEEEAAAQQQQAABBBDImsCnn35qF110kcuh6fXYztoe47O1ev916tTJ72ilEaM9evSIz8E5SrYJqDewJje67777/FGkijPdeuut9s4777gRwNlWuQQ6cKBD4NVu5SHQrxGLFy92QT5NiqR8oArmKRp9uO6qzZo1s3PPPTemfPpl5N133zUlhv33v/+d4lgavqlZ2FWUn/NIRTk7lWh4yZIl9tVXX7nh/5HbfPTRR+4XpZNOOsnvAq7hJeqqruGWZ5xxhlWuXDlyExcwlZ3KySefnOIxbiCAAAIIIIAAAggggAACCCCAQPQCGkqruTdUNIxY38lbtWoV/Q7juGX//v1dukEdUunzRo4cmaW0E3GsOofKgoDSgyxcuNDfQ7Vq1dwE2g0aNPDvY+HIAoEHQHv27GkzZszwj6w8G5qVKiNF+RZiHQD917/+Zccff7ybZGjmzJnuVx+vbq+88orLMaQ3wIYNG3p3u+vPP//c5cSsXr26ValSxX/shhtusIEDB9qLL75op556qp+TTb04J06c6Na75ppr/PUVWFWeFHWzVzdlzdLm5ZnQrznDhw93+UcUNFZwlYIAAggggAACCCCAAAIIIIAAAsEIPPvss25eEO2tatWqdumllwaz4xjv5dVXX/VHkiqGMGrUKCtVqlSMj8ruwyCgFI0a4t65c2d3admypcvlHYa6JVIdAg+Ahr3x6nnZoUMHGzBggD344IP2xRdfuOHpixYtcstKuq0gbuoJMTSjmiYl0baRAdCmTZuahsv/9NNP1r59exfAVdJf9TBVDk8FMtWz1StK3q6Aqbqpa51vvvnGmjdv7n61UTf8NWvWuP13797d24RrBBBAAAEEEEAAAQQQQAABBBDIooDyZ44ZM8bfS7du3RKiB6XiFYojeEUdqerXr+/d5DpJBTSCWpPpaQJUpWDUKGPd9iZTTtJmx6xZgQdAX3vtNTfrVzQ1VnAwHuXss8+2xx57zAVAdQLpoqKeoQo81qlTJ8PVUFdkdTvX/t577z1TL1IV3a9ZuG677bZDhv2ffvrpNnr0aFNQVYFTmalo5vILL7zQBUcTZdY0V3H+IIAAAggggAACCCCAAAIIIBByAXWC8ubvaNGihSldXdiLRo/efvvt5s2Cfckll1jbtm3DXm3ql0UBBT0V7IxMI6kev5pNnRKdQOAB0MKFC0dXkzhvVbduXdd9XL00NYmRounHHHNMipMrskqTJk2KvJliOV++fC4Z7T333GPLly93J6Rm4tIJm15Rfk/98qSJknT8IkWKmLaJPLnT25b7EUAAAQQQQAABBBBAAAEEEEAg4wLq+KQRoCr6/q0RnGEvmqdEcYa1a9e6qioln9LmUZJXQJ3pFOhUBzlKsAKBB0CDrV7s96YTK6i8GcrDUbNmzUxVulixYqYLBQEEEEAAAQQQQAABBBBAAAEEghfQLNpPPfWUv2OlttMkzWEvGm06d+5cV011NlMnqsN1tAp7e6hf+gJKw6jnVvk+6RiXvlNWHsnxAdCs4LEtAggggAACCCCAAAIIIIAAAgiEW0DBT43+VNGwd6WeC3uZPXu2Pffcc341H3nkETdpk38HCwktoFQMEyZMcB3yrrjiCnet0cWU2AnENACqmdCXLl3qZk/XxEBHKieccIKbkOhI6/E4AggggAACCCCAAAIIIIAAAgggcCSBJUuW2H//+1+3mnrWaeKj1JMeH2kf8X78119/td69e/uH1ezfiRC09SvMwmEFNBeMAtqrVq1yQ91btWplBD8PSxbIgzEJgCro2a9fP5s6dWqmJkTSrGaDBg0KpGHsBAEEEEAAAQQQQAABBBBAAAEEcrbAb7/95oJLe/bsscsvvzz0vSh3797tJj3SsH2VRo0auTygOftZTI7W792711588UUXK/MmM9J5+dlnn9n111+fHI0McSsCD4Du2LHDLrvsMvv5559D3GyqhgACCCCAAAIIIIAAAggggAACyS5w0UUXWYUKFWzs2LF20003hb65PXv2tGXLlrl6li9f3vUUJCdk6J+2I1ZwwYIF9thjj9n69ev9dY8//ngbMmSInX766f59LMROIPAA6ODBg/3gZ40aNeyGG24wPamaYf1I3cw1oxkFAQQQQAABBBBAAAEEEEAAAQQQCEJAPSk14dHtt98e+pm1lfPznXfecc3OkyePPf7441a8ePEgGNhHNgns3LnTTV41a9Ysvwaa6f3WW2+1rl27MvTdV4n9QuAB0Dlz5rha161b1z744AMrWbJk7FvBERBAAAEEEEAAAQQQQAABBBBAAIEIgYMHD9q2bdsi7gnv4pdffmnDhg3zK9i/f387+eST/dssJJ7A3Llz7cknn7QtW7b4la9Zs6YNHTqU59YXid9CoAHQAwcO2Pfff+9qr2g2wc/4PZEcCQEEEEAAAQQQQAABBBBAAAEE/ieg4GdGJmT+3xbZs7Ru3Trr0qWLKaaiopG0V155ZfZUhqMGIqDcs5Fz3KhHr57jDh062NFHBxqKC6S+OWEnuYNspLrxFipUyO1SPUApCCCAAAIIIIAAAggggAACCCCAQLwF9u/fb5qjJOxl3759dtttt9nmzZtdVU899VTTBNGUxBaoVq2aXXHFFa4Rio+99dZb1qlTJ4Kf2fi0BhoAVTs0Q5nKihUr3DV/EEAAAQQQQAABBBBAAAEEEEAAgXgJaIZtL6AYr2NGe5x+/frZwoUL3ealS5e2Z555hryQ0WKGZLuCBQu6ibf69u3reoFOmDDBFBClZK9A4AHQZs2auRZphjUKAggggAACCCCAAAIIIIAAAgggEE8B9fxUD9Cwl/Hjx9vkyZNdNTWidtSoUaaZ3ymJKaDnUEHsMmXKmJaLFCni0hnkzh146C0xgbK51oE/C5rFSrkqPv74Y+vWrVtCdDnP5ueAwyOAAAIIIIAAAggggAACCCCAQAACyvm5ffv2APYU2118/fXXNnjwYP8gAwYMsDPOOMO/zUJiCRQuXNj1+vTSQiZW7XNGbQPPvLp48WKX1HXevHk2cuRIe/XVV61+/fpWuXJlFwU/HKt6j5577rmHW4XHEEAAAQQQQAABBBBAAAEEEEAAgTQFNOO2Zn8Pc1m/fr117tzZn6DpqquusjZt2oS5ytQtHQFNaKQJwAsUKJDOGtwdFoHAA6C9e/e2GTNm+O3buHGjzZo1y799uAWdOARADyfEYwgggAACCCCAAAIIIIAAAgggECmgoGfHjh3dJDPVq1ePfCh0yxqaf/vtt5tiJSq1a9e2IUOGhK6eVChtAc3url6e5cqVM/X6LF68uDHEPW2rsN0b+BD4sDWQ+iCAAAIIIIAAAggggAACCCCAQPIKDBs2zBYtWuR6Vb7++uuhbmj//v3tu+++c3VUz8ExY8ZY/vz5Q11nKmeut+7LL79sXbp0sccff9zKli3ren4S/EycsyPwHqCvvfaa3407swy86DMrxvoIIIAAAggggAACCCCAAAII5FyBuXPn2ltvveUA8ubNa40bNw4txiuvvGKKmahokpynn37a5Y0MbYWpmBP4+eefbcSIEbZixQp3e/78+fb+++/bpZdeilACCQQeAFUXYAoCCCCAAAIIIIAAAggggAACCCAQS4F9+/bZwIED/UPcdNNNoZ1FXUGzQYMG+XXt06ePNWrUyL/NQvgElK5g/Pjxpl7FkXllr7vuOtI3hu/pOmKNAg+AHvGIrIAAAggggAACCCCAAAIIIIAAAghkUWDUqFG2atUqt5fjjz/err766izuMTabr1u3zuX9/Ouvv9wBWrVqZe3atYvNwdhrIAI//PCDPfroo7ZmzRp/f5UqVXL5Whs2bOjfx0LiCAQeAP3kk09s7dq1mRJQ1++iRYtasWLFXCLZatWqZWp7VkYAAQQQQAABBBBAAAEEEEAAgZwjsHTpUhs7dqxrcK5cuax79+5uWHnYBPbu3esmaNq0aZOrmiY9Us5SSjgF9uzZYy+88IKfVkG11PnVpk0bu+uuu5jtPZxPW4ZqFXgA9KGHHkoxC3yGapFqpYoVK7pfbh544AE3u1aqh7mJAAIIIIAAAggggAACCCCAAAI5VEDDkfv27evPP3LJJZdYrVq1Qqlx3333uQmaVLnSpUvbc889x6RHoXymzDTD+4ABA2zDhg1+DatWrWpDhw610047zb+PhcQUCOUs8OpirFm16tevb1u3bk1MWWqNAAIIIIAAAggggAACCCCAAAKBC7z00kt+ULFMmTKhHU6uGd6nTp3q2n/00Ufb6NGjQ5ujNPAnKQF3qJndDxw44Gqukcq33Xab6wlK8DMBn8w0qhx4AFSzr+mSO/f/23WTJk1s4sSJNm/ePFu/fr1p9izNlqXkv8WLF3dVOuGEE2z69On25ptv2pNPPmneEHh1ae/YsWMa1eYuBBBAAAEEEEAAAQQQQAABBBDIaQKrV692Haa8dnfr1s0KFizo3QzN9WeffZZiqPv9999vDRo0CE39qMihAhqNrJHIJ554opv4qEePHpY3b95DV+SehBQIfAj88uXL7eabb3YzZD3//PN26623poApV66c1ahRw84//3y78847rXnz5vb111/bd999Z5oFTUXJgHv27GlPP/20TZkyxVasWGFKaExBAAEEEEAAAQQQQAABBBBAAIGcK/Daa6+Z8mqqnHPOORbGCWlWrlxpXbp08WcOb926telCCaeAeucqVlW4cGE3u3vTpk39Tn3hrDG1ikYg8B6gw4cPt+3bt7sZzlIHP1NXUD1AJ02a5CLq/fv3t82bN7tV9OvNyJEjXdT9n3/+cT1DU2/LbQQQQAABBBBAAAEEEEAAAQQQyFkCd999t917771uKHnnzp1D1/hdu3ZZ+/bt7c8//3R1U69PjYClhE9Akxsp/lSkSJEUE2h5I5rDV2NqlBWBwAOgX3zxhavPddddl6F6qWen8ikoibGGyXtFJ+J5553nbqoHKAUBBBBAAAEEEEAAAQQQQAABBHK2gGbpvuCCC9xM3V5avbCIqAOXZqNftmyZq1L58uVd3s88efKEpYrU4/8XKFCggJuUKn/+/G6Wd2CSXyDQAOjff/9tytupcuyxx2ZYT4lmVX766acU25QqVcrd3rRpU4r7uYEAAggggAACCCCAAAIIIIAAAjlLQBPUbNmyxTVak9SErTz66KP23nvvuWrly5fPzfiumd8p4RHQeaNYk+JQYTyHwiOVfDUJNACqvAnei1t5PTNavvnmG7eqEs1Gli+//NLdPOaYYyLvZhkBBBBAAAEEEEAAAQQQQCAgAXVk2bdvX0B7YzcIxE5g27Zt/izdsTtKdHvWxM5K5ecVpQesXbu2d5PrbBJQhzqlXNRk3Brurl65yvVJyXkCgQZAxVe/fn2nOGDAANOb05HKww8/bOvWrXOredvqhpIaa9Y0FQ2TpyCAAAIIIIAAAggggAACCGROQKnG5s+f72aj1rDhr776yjRMV9+31JNu7dq17poAaOZcWTv+Ahr6vnPnzvgfOANH/OGHH0y5Sb3SqVMna9WqlXeT62wSmDVrlsvHqve9Z555xtWCXp/Z9GSE4LCBzwKvfBc6yTQbfLNmzeyhhx5yM76nbuvGjRttxIgRpi7iKhdeeKGbdUvLP/74o5sRXm9wOjlbtmypuykIIIAAAggggAACCCCAAAJHEFBwc86cOfbhhx/aRx99ZFu3bvW3eOedd6xChQr+7NT+AywgEGIBBe29oe9hq6ZiGx06dPBnplccRJM0UbJPYMOGDfbYY4/Zt99+61dC55Bys5YpU8a/j4WcJRB4ALR58+Z2xx132FNPPWULFixwyYmrVKliVatWtYoVK7o3rdWrV7tcoQpwqtSoUcMmTpzoyzdu3NjvParJlLQtBQEEEEAAAQQQQAABBBBAIG0BBYc+/vhj++CDD1zwM70enWvWrCH4mTYh94ZYQKNLlaohbGX//v122223+aNaFdt48sknjVnEs+eZUpBz2rRpNnbsWD8grZqcc845NnjwYL/TXfbUjqNmt0DgAVA1SC945QIdNmyYO+l+++030yWt0qJFCxcsLVGihHtYv554Q+evuOIKe/bZZ9PajPsQQAABBBBAAAEEEEAAAQT+T0Dfu1566aU0A5sKxNSpU8fOPPNMd/EmoAUOgUQRUDB/x44doaxunz59/F6GmpH++eefJ79kNj1TSuehEcaLFi3ya1CsWDHr27evXX755f59LORcgZgEQHPlymUDBw60tm3b2syZM02THKnrsfJi5MmTx/X41IRHnTt3tiZNmqTQ/+uvv2z06NF2yimnuH/Q2hcFAQQQQAABBBBAAAEEEEAgbQEFNZXr0yv58+e3Bg0aWKNGjaxhw4ZWpEgR7yGuEUgoAfXo27x5s8tbG7aKP/fcc/b666+7ail136hRo+y4444LWzWTvj5673vzzTdt3LhxKSZz0+hkxaW8ibqTHoIGHlEgJgFQ76h68as7uFcOHDjgcnp6t9O6Vj6a22+/Pa2HuA8BBBBAAAEEEEAAAQQQyPEC+sKvPJ9KKaaLOo9oRN2//vUvUzqx0047zfLmzZvjnQBIXIF58+a5zlTt27cP5dB3pZsYOnSoD6xAm3rOD6T4AABAAElEQVRZU+Iv8P3336cYOVyyZEkX+NRoYwoCkQIxDYBGHkjLzLaVWoTbCCCAAAIIIIAAAggggEBKAeU63L17txUtWtR/QEFP3aeLgp/qGecV9QB99dVXjdFzngjXiSygoL6GlmvuEE3kpRQPxx57bGiapAmfu3bt6ve6bt26td18882hqV9Oq4h6uyvYqcm4L7nkEuvXr5/7QSinOdDeIwtEHQCdPXu2S7CtQ2gG96ZNm7qjKffM0qVLj3zkNNY477zzTBcKAggggAACCCCAAAIIIJCTBDSZyty5c+3dd991QR99kVfuusig5+E8CH4eTofHEkngkUceccFP1blAgQIWpry127dvt3bt2vk5SdXretCgQYnEmzR11Xte4cKFTblX1QO3VatWdu655yZN+2hI8AJRB0A/++wzv8u3Est6AdBJkybZjBkzoqppvnz5CIBGJcdGCCCAAAIIIIAAAgggkGgCmtxF36sU9FQHk507d/pN0H1t2rTxb7OAQE4QmD9/vr388suuqZrA695773XziISh7eqZrXR9K1ascNWpWLGim79E85xQ4isgcw11V75jFS0T/Izvc5CIR4s6AJqIjaXOCCCAAAIIIIAAAggggEB2Cmh476effuqGayqPoHp4pi5KHVa5cmX7888/UwyDT70etxFIJgG9Nnr37u036brrrnMTKPt3ZPPCgAED7IsvvnC1UM/DF154gaHW2fCcKDWIOuEpQE5BIDMCUQdA9cbUo0cPdyz13PSKZkHTLyPRlMj9RLM92yCAAAIIIIAAAggggAACYRX45JNP7M4773QTF6Wuo3o01atXz8466yw3ezszt6cW4nayCzz22GO2atUq18zjjz/ebrzxxtA0WcHOCRMmuPoo8DZy5Eg74YQTQlO/nFARvUeWKlXKiBvlhGc7Nm2MOgCqWQXTmllQOTooCCCAAAIIIIAAAggggAACKQVq1KjhJjDy7tX3qdNPP90FPZVLsFChQt5DXCOQowS++eYbGz9+vGuzAoz33HNPaIa+q6f2Aw884D8fys3LcGufI2YLS5YssXLlyrnh7fpBSLk+yXUcM+4cseOoA6A5QodGIoAAAggggAACCCCAAAJZEPjrr79s165dbqi7ltXLs2DBgnb22WfbGWec4SZ5ycLu2RSBhBfYu3evG/r+zz//uLZce+21oelduWzZMrvjjjv8Gd+vv/56NwlSwqOHuAGaEE6Ta0+ZMsWaNGliTz31FL0+Q/x8JVLVCIAm0rNFXRFAAAEEEEAAAQQQQCD0AkoJpgmOFNhR0DOyDB06NPImywjkeAHN+r5y5UrncNxxx4Vm6PuWLVvs1ltv9Scna9Sokf3nP//J8c9XLAEWL15sOh/WrFnjDqN8yZoo7vzzz4/lYdl3DhGIOgCq5L+ff/55oExnnnmm6UJBAAEEEEAAAQQQQAABBMIqoKDm3Llzbfr06bZo0SJ3feDAAdfLU5Mabd++3VWd9GBhfQapV1gEFGRUTz8Vb+h7Wqn24l1f9ULUjO+rV692h9akZKNHjw7NsPx4e8T6ePqx6MUXX7SpU6ea1xNYw91vueUW1ws01sdn/zlDIOoA6HvvvWeDBg0KVEn7IwAaKCk7QwABBBBAAAEEEEAAgQAEDh48aPPmzXPBTn0X2rZtm7/Xd99910466ST/NgsIIJAxgZIlS9rkyZOtZ8+edsopp9iJJ56YsQ1jvJbyfOr1rqJZxzUJknJQUoIXWLhwoev1uW7dOn/nVatWNfWWP+200/z7WEAgqwJRB0CzemC2RwABBBBAAAEEEEAAAQTCLKCeSN99950Les6cOdM2bdp0SHWPPvpo+/XXXwmAHiLDHQgcWUCvMfWUHjFihN/z78hbxXYN9fRUUFblqKOOsqefftqqVasW24PmwL3v2bPHnn/+eXv77bf91qsXcPv27a1r165pTrrtr8gCAlEIRB0Aveuuu1x35CiOme4m/KKSLg0PIIAAAggggAACCCCAQJwEFJR57LHHbNq0afb7778fclR9Sa9bt66dc845bngms7cfQsQdCGRIYOvWrS5Prl5TYSj6oWP48OF+VQYOHGhnnXWWf5uFYAR++eUXu//++23Dhg3+DmvUqOF6faonMAWBWAhEHQAtVqyY6UJBAAEEEEAAAQQQQAABBJJJQLnn5s+fnyL4qftq165t5557rguI8F0omZ5x2pIdAsr7uHPnzuw4dJrH1FDs7t27+48p/+TNN9/s32YhOIHSpUu7SeK0R/Wi79ixo3Xq1Ilen8ERs6c0BKIOgKaxryzfpV9a9cGCggACCCCAAAIIIIAAAgjEW0DfRzQsc9euXda4cWP75ptvrGbNmi7o2bRpUytVqlS8q8TxEEhKAeXUVUoJvebCUNTTu127dn5QTj909O/fPwxVS7o6qLdvlSpVTL1rx4wZY8OGDbNatWolXTtpUPgEYhoAXbFiha1fv940g5re4LyiN7m///7bNFOiPlyo27NmUNQESEo2TEEAAQQQQAABBBBAAAEE4iGg7yb79u1zPdEU/PS+tygAUq9ePatQoUI8qsExEMhRAhr6rnhAGIpiErfeeqtt3LjRVUcTMT311FMu/2cY6pdMdcifP7/7IUm9Plu2bGktWrTAOZme4JC3JSYB0C+//NLuu+8+++STTzLV/AYNGmRqfVZGAAEEEEAAAQQQQAABBI4koM4Xc+bMsUqVKvmTmSjouXv3btchI61AjPJ6ktvzSLI8jkDmBfS6C8vQd73277jjDluyZIlrSJkyZdyM77z2M/+8Hm4L9fpU2pAiRYqkGPWrSaYoCMRLIPAAqH7JueKKK1zPz8w0Qr+s6pcWCgIIIIAAAggggAACCCAQhMD3339vb731ls2YMcP0PeWGG24wTeaqAMxff/0VxCHYBwIIZEJAAcctW7ZkYovYrvqf//zHPvroI3eQfPnyuVnJ6fUdrHlkr89g98zeEMicQOAB0AcffNAPfp533nl22WWXWYECBVxSW72hjB071v3KunLlSps0aZItX77cqlat6n5xyZMnT+Zqz9oIIIAAAggggAACCCCAQITA6tWr7e2333aBT33niCxKu6VJTeh1FKnCMgKxF1CqCc33oeBnWj2uY1+DQ48wfvx4GzdunP/A448/bnXq1PFvs5A1AfX6LFGihOtJz1wvWbNk62AEAg+AKlG4SvPmze3dd9/1azl8+HAX7DzhhBPsjDPOcPf37NnT5Xz46quv7JFHHnHD5v0NWEAAAQQQQAABBBBAAAEEMiCwfft2mzlzpgt6fvvtt4dsoS/idevWtWbNmoVm0pVDKskdCCSpgDo9aZh57969rXLlyqFopXp9Dho0yK9Lr1697KKLLvJvs5B5Ab0PP/nkk9aoUSO75JJL/Fyfmd8TWyAQG4HAA6DLli1zNb3zzjtT1FgvAr3x6Y3GC4AWL17cPvjgAzvttNNs8ODBdt1117nZwFJsyA0EEEAAAQQQQAABBBBAIB2BDz/80PTdI60h7dWqVTONStOERszgng4gdyMQQwG9Lu+55x779ddf3ajQPn36WNOmTWN4xCPv+scff7QuXbr4E55de+211qlTpyNvyBrpCnz66ac2cuRIUxB00aJFdtVVV5kmOqIgECaBQM9IvbmtXbvWta9GjRop2lmzZk13e+HChSnuL1y4sPulRbOsvfnmm9ajR48Uj3MDAQQQQAABBBBAAAEEEEhP4KSTTkoxpLZ06dKup6cCn1WqVElvM+5HAIE4CDzxxBOmgKOKXpv169ePw1HTP8T69eutbdu2Lg+w1lJHrSFDhqS/AY8cVkC5lRX41CRzXtmzZ48Lgp511lneXVwjEAqBQAOgyuGpX1Y3bdp0SLQ/vQCoFPQLkAKg+qWAggACCCCAAAIIIIAAAggcTkA5BL2ZpPfv32/6oq35BhT0PPXUU01D3ikIIJC9AvPmzXNzgKgWygGpFHjqAJVdRe8Z7dq1sw0bNrgqVK9e3Z555hljLpLonhGN7lUcZ8eOHf4O6tWr555npRyhIBA2gUADoGqcZnJX9P+3335L8YtrrVq1XNuXLFli+pCSN29e36JgwYJuefHixf59LCCAAAIIIIAAAggggAACnoAmUVEAY9euXaYeRrrtlb59+3qLXCOAQAgE/vzzT7v33nv91+k111zjfpzIrqrpRxONNlU8QkW9UTUBUrFixbKrSgl7XE1kpVyfc+fO9dugmI5SHbRs2dLFe/wHWEAgRAKB/zSqAKiKfkmJLOoBqhwQf//9tyk/RGR555133M0iRYpE3s0yAggggAACCCCAAAII5DABpcwaMWKEn59P3x8U9Ny4caO7KAgaGfzMYTw0F4GEEBg4cKBpuLmKcvG2adMmW+ut+njDtPPnz2/PP/+8VaxYMVvrlIgH1xwu7du3TxH8VBqBadOmWevWrV1P30RsF3XOGQKBB0Bvuukmd9JPnjzZrr76aps/f76TVLfyxo0bu+XOnTvb77//7j646IXy+uuvu/vVBZ2CAAIIIIAAAggggAACOUtAKbQUkLj44otNPcWee+45mz17thuqqp5k+/btI+iZs04JWpvAAlOnTrUZM2a4Fmjkp2Z/z85h5mPGjLEJEya4+mgovvKSKlUGJXMCCxYssIceesh27tzpNixUqJCbzFo9aQkmZ86StbNHIPAA6Nlnn21du3Z1rZkyZYpddtllfsu8CY40U3ylSpWsfPny7nH9mqui4CkFAQQQQAABBBBAAAEEkl9AE6i+//77bvZlfYfQF+vly5f7DX/jjTfSnNndX4EFBBAIncCaNWtcUMyr2G233WbHHXecdzPu1zNnzrQHH3zQP65mob/wwgv92yxkXEATWGn+FpUmTZrY9OnT7brrrsv4DlgTgWwWCDwHqNozdOhQN2RFvwSou7tXLr30UuvSpYs9/fTT7nEv+bAe79Chg3sReetyjQACCCCAAAIIIIAAAsknsHTpUlNw86233jLNIJy6VK5c2Zo3b+4mNEr9GLcRQCC8AsqzqbyfSlmhcsYZZ5hiANlVvv32W7vrrrv8w99www126623+rdZyLiAenuWKFHCHnjgAfvss8/sqquuyvjGrIlASARiEgBVAtyRI0fakCFD7LvvvvObqu7mmiVMvxyoW7y6UGvY+7///W+XR8JfkQUEEEAAAQQQQAABBBBIOgFNVuSlv4psnL5cn3vuua5nluYO8IoCKhQEEEgMAc0Grnk/VIoXL2533313tlV8xYoVbsZ3pc9Qadasmd13333ZVp9EPfBRRx1lJUuWNG/i6rJlyxL8TNQnk3pbTAKgnmvRokVNw1lSl7Zt25ouFAQQQAABBBBAAAEEEMgZApq46OSTT/YDoOocUbduXRf01FwByhVIQQCBxBVQ0FMdoZRzs0qVKq7HYHa0RrOUa9Ilr4d57dq13azl2VGXRD6m1+tTQVAKAskgENMAaDIA0QYEEEAAAQQQQAABBBCIXsCbxV0TZ9SrV88FRtRJ4oILLjD1JqIggEByCKi3pSYty868kHv37nU9P1euXOlQNTnPCy+84How7t69OzmgY9yK1L0+Y3w4do9A3ASyJQC6du1ae/fdd91MjsoJwgefuD3fHAgBBBBAAAEEEEAAgZgLqLengg3KBbhnzx7/eAUKFLBnn33Wv80CAggkh8DBgwdt06ZN7jt+drVIdejWrZtLtac6aESq5iVRvEGPUdIWWL9+vRUuXNhd1OtTQ95z5w58vuy0D869CMRRICZntX7lVY7Pyy+/3GbPnp2iOYMGDTL9CtOuXTuX91Mzwd98883Z+kaZooLcQAABBBBAAAEEEEAAgQwJqGPDp59+6q+rmd017FQzQSsYEhn89FdiAQEEkk5Aw84VB8jOcv/999t7773nqqCUGmPHjnVzjmRnncJ8bP1Q9fbbb1vHjh3tmWeesTJlyljp0qUJfob5SaNuWRKISQ/Q3r1724gRI1zFWrRo4RIO68Y777xjgwcPTlFh/RLz8ssvW9WqVU3BUQoCCCCAAAIIIIAAAgiEV0BBTnVymDRpkn3++edWrFgxmzlzpul+DT+lIIBAzhJQegtv5vfsarnyjr700kv+4R955BE3C71/BwspBNatW2cyWrhwobtfgeOrr77amjZtmmI9biCQTAKB9wD95JNP7NFHH3VGmgHOmy1MdzzwwAOup6dySnTv3t2++eYbu+OOO9y6CozqNgUBBBBAAAEEEEAAAQTCJ7B69Wr3hVlfkDXMdM6cOe6z/bZt21wvIoKf4XvOqBECsRbQDx/q/ZmdRR2tHnzwQb8Kffr0MaXaoxwqoF6fGq172223+cFPrXXhhReaJouiIJDMAoH3AH3++eddfg29eKZMmWInnHCC81MS4q+++sotX3nllX6QVInQf/rpJ/vwww/dh6j69esnszdtQwABBBBAAAEEEEAgYQQU3NDn9Ndee83mzp17SL2VY0+TGdWsWfOQx7gDAQSSW0DBNAU/dZ1dZd68edajRw//8EqvpyHdlEMFlLJEvT5/+OEH/8ESJUrYwIED7aKLLvLvYwGBZBUIPAD6448/Oqs2bdr4wU/dMWPGDN/wqquu8pe1cM0117gPVt9++22K+7mBAAIIIIAAAggggAAC2SOgUV2TJ09Os3fXaaedZhdffLE1btzY8uTJkz0V5KgIIJCtAhr2rtGdumRHWbZsmZtXZP/+/e7w+jGGtHqHPhNKO6heny+++KLt27fPX0FBzwEDBrhJj/w7WUAgiQUCDYDql58lS5Y4LnWhjizKC6SiN8fmzZtHPmSaCEll8eLFKe7nBgIIIIAAAggggAACCGSPgEZpRQ5tLV68uPscry/Nxx57bPZUiqMigEC2CqxYscJ9569Vq5Yp8FigQIFsqY9mLlenqz///NMdXz/KjBw5kgl8Uj0byvX50EMPpYi1lCpVygWKU8dlUm3KTQSSTiDQAKh+WfB+fSlSpIiPpfs++ugjd7tBgwambtaR5Y8//nA39aGKggACCCCAAAIIIIAAAtknoM/umtTkvPPOczO8161b11q2bGlnnnmmKcc/BQEEcqaA3hs0l4dGfbZq1cpat26dLRAKeir4+fvvv7vjH3/88fbCCy9Y/vz5s6U+YT6o3rMVtPbKJZdcYv369TskJuM9zjUCySwQ6CcY9e6sXLmy/fLLL+5XIb0RqWhiJH2IUkndM1T3Ka+QynHHHeeu+ROMgBLR79ixI6qdeYFsbbx7924/sB3VzuK0kQLwKmr333//HaejRn+YyFw5qnu0z1X0NYhuS50bqnsi1ddrqc6NAwcOeDdDf60hKpHnSZgr7NUzkc4N5bVT0bmcK1euMPO6unn11Y3I4UuZrXhWJynxnmu5Rf6vyEw9vH1wvmRGLXPrRv4fzMr5krmjZn1t/T/UuZ4o/2Mi/6fos24ivJd454aGrubO/b/5UPV63LNnj/vc562jHlVjx461Y445xj25kZ0dsv5sZ2wP3uc7rZ0dx89YLQ9dy6t3tO+Th+4xtveovt754A1rjuaIek14bY9me22rfUT7HhD5mkyk9xLvNRdtu6OxjmabYcOGueCntv3000/tiiuusHz58sX187VeU+3bt7elS5e6Jqg3o+YhKVy48GE/l3ifPXReRJ4n0TjEYxuvvjqWlqN9L9H7t4LWo0ePtt69e9s555zjqh+rc0311Os4Vvt3lQ/wT+RnpESLI6juWXm/DZDxiLvyzmddR3tueM+Vt68jHjSNFQINgGr///rXv1wAVLk3atSo4Ya364XmlWuvvdZbdIGqUaNGuaTqurNJkyb+YyxkXUAniIKX0ZTIF5L2E+0bbjTHjnYb74WQaPVVe+Ud7XMVrVe023nnRqLU1zsv1F6dx5FBpGgN4rWd6up9II7XMaM9TqRzop0bqm8iBC0ijbPy4T2r7+dePeQW7RcIbx863zhfon3VHX67SOOsnC+HP0rwj6reiVRf73+iJBLtvUTBTr336f+M3hf0xS/yvPGeXQUX9JxkV4msk7yzsy6ZMfDqnUj19QKgOhei/b+o/wuRr4vMmGlduWkf0f5v8Ny1L53b0e5H28ezeGZhru8HH3xgr7/+umPRuaKgmkZ9yjna8yWzxnp+7777btPERyoFCxa0Z555xv1Ic6TXmnduxLO+mW1f5PpefXWflo/UvshttaznSEFh5WjWUHf14NftWJ9jiXAuR1p59dV9iRZHSLTvtjLWuRztOajnx9uHW4jiT+ABUL0R/ve//3UzvisviH4R8np/tmjRwk466SRXzc8//9wUDPW6rVeqVMluvPHGKJrAJukJFCtWzMqVK5few4e9f/v27f6JqZQFeh7DXvRhSekU1O7sykWTGSO9+JW7RkVDE8qUKZOZzbNtXQ050ZemaM+teFdc7z/er0yaqVYflBKhKF+PPqTokghlw4YN7guPPgAnyrmhHi46n1XfeH1wz8pzqdfdtm3b3C50XkSmmsnMfvU6yErxviDLLdr/DZwvWXkGMrZtUOdLxo4W3Fr6P67zSv/LE6Fs2rTJ/1JatmxZvwddGOs+f/58mzhxohsi2qVLFytUqJD7f65ggF7XYf3/qM93Op9V9HkpUYa4enVOhM+kso0cHaCgd7QTW+XNmzdLaRI0olD7iPazhAICmzdvVpPc94FESbHm5dotWbKkq3vY/ixfvtxGjBjhV0vf208++WR3W+d4vCZBGjx4sL377rvuuHo/UPBTKfYyUhToUuAlnvXNSL3SW0ffFfVZVSUz79H6TKvPifoOH/n5NtrXVHr1S+9+xREUqNL/xEQo+p7oxasSLY6g7wL6X54IRXEPndM6l6M9F70AqPddJJp2Bx4ArVevno0bN846dOjgPhB6v1ToDfLVV1/166gXhhf8VOBHj+mfHQUBBBBAAAEEEEAAAQSyLqAvz2+99ZYLfP78889uh/q8fdlll7kvp1n5EpH12rEHBBBIBAEFDbt27ep3jmnYsKFdddVVUY8CibbNY8aMcXk+ve01sc/ZZ5/t3eT6/wQUFNYPGInyQxFPGgLxFgg8AKoGKCFx/fr1bcaMGfbbb7/ZOf+XZ0K9PyN/zT/xxBNd5Fdvnj179nS5Q+PdeI6HAAIIIIAAAggggECyCSxbtswFPadOner3IPLaqB5BytefKL1zvHpzjQAC2SMwYMAAUw9QFfXc0nf3yJ6F8aiV3ssefPBB/1C9evWyK6+80r+d0xe8Xp/q8cwPWzn9bKD9hxOISQBUB6xdu7a7pHfwKlWquB6gvEDTE+J+BBBAAAEEEEAAAQQyJqBRV8rR98orr9jXX399yEZKN6XZfzWzO5+/D+HhDgQQSENgwoQJNm3aNPeI0iL079/fpeCJTJmQxmaB3jVnzhy79957/X3efPPN1qlTJ/92TlxQapBJkybZCSec4OZgUa/PaNMS5UQ/2pxzBWIWAD0SqX6liPcvR0eqE48jgAACCCCAAAIIIJBoAsrjqdFWa9asSVF1BTobN25sl156qWlGd5XInJopVuYGAgggECGwaNGiFL0uFXRUwC2eZeHChdaxY0c/17Le5wYNGhTPKoTuWBphq3ys6umvHrnTp08n+Bm6Z4kKhVUg6gDo7Nmz3a/MatiFF15oTZs2dW186aWXbOnSpVG1V79I60JBAAEEEEAAAQQQQACBjAko0Fm3bl0/AKqJVFq2bGkXX3yxyweXsb2wFgIIIPA/AQ079+bzaNasmetB/r9HY7+kQN8tt9ySIvfoE088kWN7sOvHK82bol7++tFLRZNKfvjhh9aqVavYPyEcAYEkEIg6APrZZ5/Z0KFDHYFye3oBUHXFVu7PaIq6bRMAjUaObRBAAAEEEEAAAQRymoC+BHsz2DZv3txWrVrlenuq12e8ZmXOaea0F4GcItC3b1833F2zrt95551xbfYff/xhN910k23ZssUdt1atWvbcc8/l2J6OK1assKeeesrlb/aeiGOOOcaGDBliTZo08e7iGgEEjiAQdQD0CPvlYQQQQAABBBBAAAEEEIiBgPLvKfCp2Zm9UrNmTXv44Ye9m1wjgAACWRLYvHmzXXHFFXbZZZfF9QeVP//805Tn00vpUbFiRdMo06JFi2apPYm4sXp9TpkyxSZPnuzSl3htuOaaa+y+++6zwoULe3dxjQACGRCIOgDau3dv69GjhztEZMLd119/3e+SnYHjp1glcj8pHuAGAggggAACCCCAAAI5TEBBziJFirhW//PPP7Zz504X+PSGpeYwDpqLAAJxElAQ0vuBJZ69yfXjTocOHWzJkiWupZrc5+WXX7ayZcvGqeXhOczy5cvtoYceMvX+9EqFChXsgQcecLmdvfu4RgCBjAtEHQDNmzev6ZK6FChQIPVd3EYAAQQQQAABBBBAAIEMCOzZs8fNuqwv/eXLl7dRo0b5w9wPHjyYgT2wCgIIIBC9gN6Dtm3bFv0OotxSvR011P6rr75yeyhYsKCNGzfOqlSpEuUeE3ezn3/+2VnIxCvXXXed9ezZk16fHgjXCEQhEHUANIpjsQkCCCCAAAIIIIAAAgikIbB27Vo3uYWGOqr3lYq+BH/99demXj8UBBBAINYCyiusoe/qcR7v0q9fP1O+UZU8efLYmDFj7JRTTol3NUJxvBo1ariJ7ebPn2/K9anRty1atAhF3agEAoksQAA0kZ896o4AAggggAACCCCQ0AIKcCq/nWbyTd3Ds1KlSm4SEAKgCf0UJ0TlNZu0UiucdNJJCVFfKhm8gIKeGzduTJFrMvijpL3HESNG2MSJE/0HH3300Rw7uY+Cvxr6P2zYMBs9erS1a9fONOk0BQEEsi4QswDo77//bp9//rkpd4V+RcpI0eyVF1xwQUZWZR0EEEAAAQQQQAABBBJSYP/+/W6Y+/jx4/1cd15DcuXKZQ0bNrTLL7/c6tev793NNQJZFtBw2tWrV7uZpH/55ZcU18ovq+9hCsZTcqaAvrPrvSne5YUXXnAznHvHHTRokF166aXezRxzrfd+5XwuXry4afnYY4+1rl275pj201AE4iEQkwDogw8+aEOGDPETJ2e0IYUKFSIAmlEs1kMAAQQQQAABBBBIOAH1stKsyr/99luKuivfnYY4KvCp3J8UBKIVUE9OTZyiIOeyZcvcRcu//vqr7du3L93dquMKJWcKKO3Grl274t74N954wwYPHuwfVwG/W265xb+dUxa8Xp9MCp1TnnHamV0CgQdAp0yZYn379s2u9nBcBBBAAAEEEEAAAQRCK6AA6Nlnn+0HQNXLp1WrVqaRUEwmGtqnLZQVU75GBdIV5FS+WO+i4Kcey2hRr7OqVatazZo1M7oJ6yWBwMqVK23BggXuh5fsmPRIaT/uvfdeX/LGG2+0u+++27+dExZS9/rMCW2mjQhkp0DgAdDhw4e79hx11FE2dOhQu/76610OC/2qcaSibSgIIIAAAggggAACCCSbgIYfq5eVN9T4xx9/dL09GzRo4IY7Jlt7aU9wAsoNu2rVKlu6dKkLcnrXCn6qt2dGS5kyZax69eqmCVZ07V3Kli1re/fuzehuWC8JBNTbs0uXLi54/sUXX9htt91m8fwuPm/ePOvcubOfb/SSSy5J0RM0CYjTbIJer3o9q6en4iOlS5e2vHnzprkudyKAQPACgQdAf/rpJ1fLnj17pvhFJ/iqs0cEEEAAAQQQQAABBMItoJx6qYeXKuCkdFEUBFILrF+/3gU6FeT0Lurhebih66n3oRQKCnJ6Fy/oyUQqqaVy5m31Qr/vvvtc8FMCmrejdevWcZtoZ/HixW5iH++cVo/4xx57zHLnzp3UT4hexw8//LDVqVPH+vTp4+f6TOpG0zgEQiYQaABUv2x7hcmMPAmuEUAAAQQQQAABBJJdQIHO/Pnz+83cvXu3C3x6X/L9B1hA4P8E1BPYC3AuWbLELet6+/btGfYpV66cnXDCCf7FC3hqSDsFgfQEnnjiCXvvvffcw+qFOHDgwLgFP5WeoU2bNrZjxw53/Hr16tmzzz7rekOmV99Ev1+9Pl955RV79dVXXe9PGVx99dVusrtEbxv1RyDRBAINgKrb/FlnnWUzZ860rVu3JpoF9UUAAQQQQAABBBBAIFMC33//vU2ePNl9odcXXAW29OU+MzkYM3VAVk4oAQ13VcBDwU2NlPOu16xZk+F2lCxZ0uXnVLBTeTp1UbCzaNGiGd4HKyIggbfffttGjx7tY3Tv3t0F0P07YriwYcMGU57PTZs2uaPofH7xxReTOvex8vKOGDHCvQd4tJUqVUrqgK/XTq4RCKNAoAFQNVAJ3BUAnTRpkl155ZVhbDN1QgABBBBAAAEEEEAgagH16NHn3bFjx7qee96OZs2aZSeffLJ3k+scJqDAtxfgXLRokVvWsNeM5tcsWLCgC0YpwHniiSf6QU/lCaQgkFUBTXikodde0Vwd559/vnczptfqHKXgpxf4r1ixor388stx63ka08alsXP9j1D7FBPRjyBekcE999yT1EFfr61cIxBGgcADoF27drU5c+bYa6+9ZieddJL16tXLJfkNY+OpEwIIIIAAAggggAACGRXQ8GT18vzvf/9rf/zxR4rNChUqZMrfSAA0BUvS3lAgRxNZ6aKencpr6AV3jtRo5To8/vjjrVatWn6gUwFP9QzTrNAUBIIWWLt2rZt0SIE5lSZNmljbtm2DPkya+1OveA17148BKgro6z1UKRySsajXp3J9rly50m+eXtuaIFqT3lEQQCD7BAIPgGoY/MSJE+3iiy92+UTGjBljdevWtcqVK6fIi5RWk9V7VBcKAggggAACCCCAAAJhEdAM3OPGjbM33njD9uzZk6Ja+hKvGYwvvfRSUw8+SnIJKGD0yy+/+MFOBToV9NTEVhkpJUqUcEFOBTh1UdBTQ38j88VmZD+sg0C0AgpAapb3LVu2uF0ofYImLI5HsF29n9u3b28LFy50x1bahvHjx7sfAKJtT1i303uFArvqCBbZ6/Omm26yu+++m16fYX3iqFeOEgg8ACq9999/37755hsHqV+bdMlIKVy4MAHQjECxDgIIIIAAAggggEBcBAYPHmwTJkwwzZwcWU455RRr2bKlnX766W724gIFCkQ+zHICCii47fXm/OGHH1yvTvXm0gRXRyrq1VmlShUX4FSQUzOvK+CpTiAUBLJLQJMUK8+n1/uyVKlSpve0eATglQe5c+fO9uWXX7rm6z1SOT81SjQZi3Kb6kcyL/h53HHHuV6f+h9BQQCBcAgEHgB988037aqrrjrkQ2I4mkstEEAAAQQQQAABBBDIuMCxxx7rf65VkKtp06bus6568Wmmd+/Lbsb3yJphEFC+TvXmVKBT+Tq1/Ouvv2bo+VRPXwU3le5AwRxdlLczMqiUuqdwGNpMHXKmgPJtquTLl88FPxUEjXXR+2KPHj1s9uzZ7lB58+a15557zurXrx/rQ2fb/hXwvOuuu2z48OFGr89sexo4MAKHFQg8AKpfPfQLuT4A6NelVq1aWfny5TM009nRRwdencM2ngcRQAABBBBAAAEEEEhLQEM3FSRr1KiRlSlTxs4991y7/PLL3XJa63NfeAWUu9ULdOpaF83MnpGifIW1a9f2A50Keip/ZzyGD2ekfqyDwOEElJ6uW7duplQMCnxq+Hs8Sr9+/dyM8zqWfjh68sknXd7ReBw73sfQe4GG9hcrVszlVT3jjDPce0a868HxEEDgyAKBRxw//vhjd9RBgwbZvffee+QasAYCCCCAAAIIIIAAAiEQ0I/46tWp/I7esGdNbqTZfPUlnhJ+AT13XrBTeQfVu1M5XDNS1FNOwU4FOXXRctmyZTOyKesgEEoB5f/Ua0I/3sSraLIfpQ3xiiYEatGihXczqa7z5MnjAsvqXesVvW9QEEAgnAKBBkDV1X3btm2upY0bNw5ni6kVAggggAACCCCAAAIRAvoMq0CBenwqb13qQvAztUg4bitYrWDn999/7wKduo6ceflwtVS+TuVxVbDCC3qqBxcFgWQRUC92b+KjeLXpqaeesmeffdY/nDpFKT1eMhb1+ixevDi9wZPxyaVNSSsQaABUHw6bNGlis2bNcrMjapmCAAIIIIAAAggggEBYBObMmWPTpk1zk1Oox6eCngp+arIQSngFNMOyJijSRT07FezU7OypJ6dK3QINT61WrZoLcirgqYtydmryVQoCySqgHuwbN2484usjyPaPGzfORowY4e9SM5/fcsst/u1kWUir12eytI12IJDsAoEGQIV13nnnuQCoJkPq2LFjsvvRPgQQQAABBBBAAIGQCygYMH36dHvhhRdMs3qrKE9bgwYN4hogCDlTaKqnoOby5ctdkHPBggX23Xff2ZIlS9LsnZu60lWrVnVBTgU669Sp44ayK40BBYGcIqBe7H/88UeGJvQKyuS1114z9fb0SocOHaxr167ezYS+/u2330w/wGjiOy/XJ6MCEvoppfI5WCDwAKje6NQDVJf/j70zgbtqWv/4Ms+upDSr0KykKEMh8xBKpswZMsuQIW6FTBkyJUOoEFcuF0mGiiQiopJUNA8URaZc996/77r/59z97vec9z3vPvN7fs/ns9+9zz5777X29+x37bV+61nPOv74490TTzzhVOko4idMty4CIiACIiACIiACOSJA7LtnnnnGPfXUU14QCGbjpZdecm3btg3u0naOCCDWIHKyIHgStxOv3PKMmJ2InK1atfJrhrJvtdVW5Z2m70Wg0hLAk53/p2x6tONRf80118SYdu/e3V133XWxz4W6AcPnnnvOx4DefvvtHZM9M+RdJgIiULgE0i6AMhQFd/fPP//cjRo1yjEpEvFAqaDQY1JWb0mnTp38DJuFi1M5FwEREAEREAEREAERyDWBpUuXOoZjPv/8835So2B+6tat67p16+ZHLQX3azs7BIhLiMBpnp2InsuWLSs3cWawRuzcbbfdvIcnoiczW8tEQAT+SwDPaYa9462YLRs/frxv+1soii5duribb745W8lnLB1iCTN5k40Y4J0yYsQId8kll2QsTV1YBEQg8wTSLoBeddVVbsyYMbGcUwj/4x//iH0ua2PDDTeUAFoWIH0nAiIgAiIgAiIgAiKQkMCXX37pHnroIT8SiYmNgoZ4hvDZrl07TVoRBJPh7QULFnix85NPPvFrYniW553G6DGGsJtnJ0NPa9as6WgrbLrpphnOsS4vAoVFAMej5s2bu1WrVrl169ZlLfPvvfeeFz/t/5mZ3okBStzdQjXeG3ScDR8+vISQfNxxx7kePXoU6m0p3yIgAv9PIO0CqMiKgAiIgAiIgAiIgAiIQC4IECcy2BHPyKOOHTt64RMRTZZZAj///LOP2/nxxx87BE+8O1evXl1movxGjRs3drvuuqtfWrdu7XbaaafYqDHElV9//bXMa+hLEShWAsy4PmjQINerVy932GGHZQ3D1KlT3aWXXhoTCffff393//33uw022CBreUh3QkuWLHEDBw708Ybt2gx9x6O1Q4cOtktrERCBAiaQdgGUAMgEXo5i6tGNQk3niIAIiIAIiIAIiIAIMNFR+/btXbVq1fzM7ogBXbt2dTRgZZkhwDBRhE4TPBGgw5634ZT5PRA5WRA98fTcfPPNw4fpswiIQDkEGGV59913+6MQQWvXru3DRJRzWspff/bZZ65nz56OcBYY5e6QIUMcs6MXolFmMYEzc5fwHjFjOD+xTBVX2IhoLQKFTyDtAuiWW25Z+FR0ByIgAiIgAiIgAiIgAgVBgEb4Dz/8EGuM//Wvf/Wx51UnTe/Px9DamTNnerET7y9Ez++++67MRDbZZBM/NJe4nQierBnKLhMBEUiNwJtvvumuvfba2EXo7CHMR6aNEBannXaaw9sbI0zFI488UrChKXh3MHs9YQTM6EQbMGCA22+//WyX1iIgApWEQNoF0ErCRbchAiIgAiIgAiIgAiKQxwRogDPLe9Bjh+w2adIkj3NdOFlD3DShkzXiZ5h1+G5q1arlRU6EzjZt2rhmzZoVrFdY+N70WQTyhQCxNy+77LKYtzVCHR6Zmba5c+e6k08+2Xc4kRZlLZ6fxOwtVKOjLOi1ftRRR7nrr7/e/eUvfynUW1K+RUAEyiAgAbQMOPpKBERABERABERABEQgtwQYVl2/fn3vYcRMw2vXrvVL1JBLub2b/E3966+/9oInYudHH33k5s+fX2ZmGe7K8HXEThM8FW6gTGT6UgRSJkDIiQsvvDAWe3OPPfZwTEKc6YmHKB+6d+/uvv/+e38PxOl99NFH3dZbb53yPeXyAgidd911lzvnnHO8R+1BBx2Uy+wobREQgQwTkACaYcC6vAiIgAiIgAiIgAiIQMUJTJ482T322GNu0qRJjmHtRxxxhPvpp59KeOtU/Ko6AwKIx9OnT/dCJ4InS3nD2bfddlvv1YlnZ9u2bb34yRB3mQiIQHYIMPz83HPPjU0KxpD3vn37ug03zGyTftGiRV78XLlypb/RBg0a+HiZVapUyc6NZyAVJmuqWrWq22yzzfz6jTfeyDjHDNyGLikCIlBBApktLSuYGR0uAiIgAiIgAiIgAiJQvAQQ5iZMmOBGjhxZYiZehNC99947NjN48RKKdufEScVzDM/OKVOmuGnTpsVElERX3HHHHb3QidjJgughEwERyA0BPLJ79Ojhvd/JQaNGjdyNN97oNt5444xmaOnSpe6kk05yK1as8OnUrVvXPfPMM26bbbaJPPFxRjOcxMURPfFWX3/99WNHZ1pEjiWkDREQgZwSkACaU/xKXAREQAREQAREQAREAM/OUaNGuccff9x9++23JYAwRPHAAw/0je1MN/ZLJFzAH4iNilfnhx9+6AXPGTNmlClW2HB2hM7dd9/dC56F7N1VwD+dsi4CpQh888037owzzogNPyckyC233OI233zzUsemcwfpIn4igmLMMo/4WaNGjdikc+lML9PXQvAk5ife7EHxM9Pp6voiIAL5Q0ACaP78FsqJCIiACIiACIiACBQVARrYTz75pG9UI4IGjQl1unXr5g4++OCMezkF0y3EbeLyIXaa4Dlr1ixHvNRExqQlDGUnfiALQ2k33XTTRIdrvwiIQA4JINjtuuuubuzYsa5mzZru1ltvzXjsTYa7I34y/B3DYxLxs06dOjkkET1pxGLilVoM0+hX0pkiIAKFTCCyAErhQY888TNkIiACIiACIiACIiACIlARAswofMwxx5TyTGRm4RNOOMHtueee8tJJAHTVqlXes/ODDz5wLLAsy7bbbjvv2YnYifCJBxmeUPKCKouavhOB/CDA/2nv3r29gHfkkUf6mJWZzBntfCY8YuIjrFq1al78rFevXiaTTeu133vvPe+5euKJJ3qPTzp9NHFeWhHrYiJQkAQiC6A9e/Z0o0ePdldccYUbMGBA7OYZcvP77797cZThNDIREAEREAEREAEREAERCBNo2LChjyuJeMcMxnvttZejcd+iRQunyXVK0iIsALE7WRA8582bV/KA0Ce8ZxE727dv79ewNvvXv/5VbvxPO1ZrERCB3BLg/5X/f9Znn312xjOzZs0ad/LJJ8c6VfA+ffrpp12wDMl4JlJI4Oeff3aDBw92b731lu/gOeCAAxxxS2UiIAIiAIHIAiixQAiovm7duhIkcZUfM2aMF0eZrVMmAiIgAiIgAiIgAiIgAkaAjvK1a9c6GqrHHXecn4382GOP9fHl2CdzfkZ28+58//33yxU88ehs166dXxA+C3WYqn57ERCB/xH497//7cVPysxs2A8//ODFT2abxxjt+dRTT/kJl7KRfqppMNHbXXfd5Wy2evgRW3q33XZL9dI6XwREoJIQiCyAUqBgzCIpEwEREAEREAEREAEREIGyCPz6669e+KQD3eJT7rfffo6l2A2vKwRPxE6WOXPmlIkEbywETzw8WYjPJxMBEag8BGhrEyM52+Ln559/7iESLxPxs1mzZnkPlXfK0KFD3csvvxzLKxPmXXbZZX7yqNhObYiACBQ9gcgCKMOUGIYzceJEH7ye3maCC1O5xYhNtHjx4goBppeJwlYmAiIgAiIgAiIgAiJQ+AQQOvHqxOMzWw35QqAGEyYsmjx5sl/Km7QIwZOYqIidCJ/Vq1cvhNtUHkVABCIQyLb4SQi7U0891c2cOdPndquttvLt+1122SVC7rN7CmXnwIED3bJly2IJN2/e3O/baaedYvu0IQIiIAIQiCyA7rvvvm7QoEHun//8pzvttNNK0TzjjDNK7StvR79+/Vz//v3LO0zfi4AIiIAIiIAIiIAI5BmBqVOnuscff9w1bdrUXXDBBV74pGFN7LpiN8Tfjz/+2DExB6LnZ599ViaXHXbYwQueiJ4sEjyL/QnS/RcLAYv5ma0OIzqnaMtPnz7dI2ZytBEjRrhWrVrlNXImNCKfzz33nLORqUzOfP755/tlww0jyxx5fd/KnAiIQGoEIpcMRx99tO9Zufbaa8uswKWWPZ0tAiIgAiIgAsVFgMYPlXiZCBQCATrCx44d64YNGxbzHkLoO/zww10xN0BpkOOZNGnSJC96fvTRRz52fqLftHbt2n4SKEZYIXjWqFEj0aHaLwIiUMkIWEgQ8/ykXM2G/fTTT+700093n376qU+OmdKHDx/uWrdunY3kI6dBPalXr14lQoXsuOOOXptgEj2ZCIiACCQiEFkA5YK9e/d2CKEESma4OxMiEX9j9uzZ7qyzzvIeAIkSjrefSp9MBERABERABCobARoZvBtXr17tF+L9xdtmHx5zxABk5tWw0Thaf/31w7v1WQSyToDJMp599lkfI44ZioNG451Zyps0aRLcXem3Fy5c6AVPRE/+h2GUyKpVq+aFTuq+LPXq1Ut0qPaLgAhUYgKUnz179vQzvDdq1MgRuzIbRhgOxE8mDsIIZYf42aZNm2wkn1IadBLvs88+MQGUkaeXX36522STTVK6rk4WARGo/ARSEkDBQ0HNYjZ+/HjfyOvSpYvTLPBGRWsREAEREIHKQIChYt9//71fmGUZESMZI64WDY1kbf78+T7EDF4heDogfDIcjkD/22yzTbKX0XEikHYCPJs0kl988cVSHo01a9Z01P8OOeQQt9lmm6U97Xy7IB0WEyZM8B6eTGC0dOnShFkkph6xO2m077333m7nnXdOeKy+EAERKA4COBAh3i1ZssRdffXV7vrrr/cdI5m+e8RP0sVbH6O8xou/bdu2mU465euvt956jmH6V1xxhVu+fLnr3r27Yy4SmQiIgAgkQyBlATScCC7z9Pwn2ygMn6/PIiACIiACIpArAni0fffddzGRE4HDBE+2iTllduONN7oTTjjBi5MIlCwmVtra9rMuz6xSz4SACK2InTIRyBcC1O0uuugi9/bbb5fKEhNldO3a1TfcK7OHMp0QxDl99913/cJsyTZ0NQwFLy48qRA7WVq2bKnQFmFI+iwCRUxg7ty5rkePHs486PHAzEYHp3l+UpZhm266qXviiScKQkTE87Nq1aqxDrZ77rmniJ8g3boIiEAUAmkXQAcMGBAlHzpHBERABERABFIigMiISLlq1SovYrKmMdGxY8ekr3vnnXd68TGZExYsWOAWLVqUUAAJXgPvL7ziEDfZZr311lv7xbbZX5nFoyAPbRcegY022sh3cFvOaYgyISbCZ3AkkH1fWdaIFCZ44uX566+/Jry1Zs2auQ4dOngvz913390LCwkP1hciIAJFS4AJh8455xxHOBwMx6EbbrjBEQs4k2YxP83zE/GTievat2+fyWTTcm3ikxIaSPWktODURUSgaAmkXQBNRJIC96uvvvKxOZjJskqVKg5vF5kIiIAIiIAIVITA6NGjvRcWnplhD82wNxaeV8TXM09M88xk/csvv/hZqr/55hsvYrIPURLvy7DRSECoDC7E7AunFz7PPnNdhmvJRKAQCSD68X9x2GGH+ZmCCXFEDHg8cSqbEbeTGJ7vvPOOFz4ZYpnIatWq5b1eEQ9YCIuhum0iWtovAiIAATpSLrjgAl//4DPlxm233eY7R/mcKaMtzmzvFvPTPD+ZdC2fjc42dAMEUJkIiIAIpEogowIoQ4Ouu+46H1+E2CZBo9JMnKjzzjuvIIItB/OubREQAREQgWgEGEKKcMkw8+BQc4aBJWuTJ092f//735M6fMWKFQnj8jGkl/wwgZ8ZjQOEUBM68SBlW4H1jZDWxUKATgOGSiJ88r+C4dU4cuTISvX/wP/7Z5995iZOnOhFT7YThaygAY5YgFc5sTwbNmzoO1ISHV8sz4ruUwREIDkC48aN87OXU/fAmLn81ltv9aNVyvIuT+7qiY8Ki5/E/GTYe757fiLSbrfddgofkvin1TciIAIVJJARAZQYaQifgwYNilWaw/mi4cuM8QRcvvnmm91VV10VPkSfRUAEREAECpQAM54jUjIMfeXKlV7sZB3Pu5Jb7Natmx8uihhhC6JCcJt3C/s23LD0q8tiZ+ElgGjJmoVJWSpi+++/f0UO17EiUOkIIHbyf0qDOezhjHdjZegMIOYesUzNy/PHH3+M+ztyv8TuZFg7oidx7gkFIBMBERCBihJ46aWX3LXXXuvrNZzbvHlzR+i4THs2Up7TuTtt2jSfZZvwiEnZ8s2++OILX3eEE8InoYHkVZ9vv5LyIwKFTaB0KzIN94OgOXDgQH8lCq399tvPNW7c2O2www6+p3zhwoXu008/9cOoaNAy612NGjV84ZyG5HUJERABERCBFAngiWCxNM1bk8oy5XgyxrDRESNGJHOoP2bWrFlJi5UHH3yw22233fxwdcROhpdLlEgatQ4UAU9gxowZMW/O/v37+/oZDeXKOPkWdU1i3iF6stDITmTbb7+9FzsRPBE+KWNkIiACIpAKgQkTJpRw9sGbvm/fvhnvUAqLn3QW43yUb7Om09n99NNP+3cSHd3oBldeeWUqyHWuCIiACMQlkHYBlN4lBFCMuGsPPPCA7zGPl/orr7ziLr30Ujd//nx34YUXuqOOOkoVzXigtE8EREAEMkCACuejjz7qPTTNU5M1C0Nfw3bLLbc4Yt5xnnlnskZcoJLNfjzGGNrFdtjoySeAPYJCcGGI+ZZbbhk+POHnunXrOhaZCIhAxQjQsTFmzBj3zDPPOARQjNnKTzjhBEfDuDIZ4S8QO1mI6YlHazzj/hEjmNAJ0bNJkybxDtM+ERABEYhMgNAZu+yyiy93KWtw/ok3miVyAnFOxLMdz0+cjjDK+OHDh/vyLs7hOdu1bNkyHwOVkUNmeOdfcskl/v1k+7QWAREQgXQQSLsAet999/lh7w0aNHCvvvpqmYJm586dffwkeqGomNLzgxAqEwEREAERSJ4A4iNDOhEuGdrEkM1kjMDyDz74YIkYmGWdx0R2VFTjGaKnDZdlTVB/hnYhdJromenKfrx8aZ8IiIBz8+bNc3Q6MwQzLATy/zpz5sy88wiq6O9Gpwud8HhajR8/vkwvTyYwY3QSC8IE5aZMBERABDJFgM4nPD4pg0855ZSMz2TOZG6kYx1d+Sp+vv76627w4MElRh6ceuqprnfv3hI/M/Uw6roiUOQE0i6ATp8+3SPt169fmeKncSf+yVlnneXuv/9+X2mVAGpktBYBERCB/xJAnJg7d64XOYmjidgZXAcn8SGG5ZAhQ0p4aSIMhBfz4ESgZBZ0M8KW4JFJ/EwTLjmGz7vuuqsdVu4aQSHfhliVm2kdIAKViABD2Wlcvvzyy45JKcNG6CFmc2dmd8JIFKIxoRoenoieeAwliuVJ3FKETgRPvK/opJeJgAiIQKYJ0MFE5/Qvv/zi61Z4ZGbaKBcRPwkthBFjFM/Ptm3bZjrppK9PWX3PPfd473w7iZift912mw89Yvu0FgEREIF0E0irva4vhQAAQABJREFUAEoD2wrbijR87Vhig8pEQAREoDIToJykclqtWrWkb5OKKyJGMrZ06VK3ePHimDdmeefQ6bT++ut7sRORE7ETz1CZCIhA4RIgLAVhhegsCRr/68z6i/DZpk2bjHshBdNO1zb1TGZSRvTE49M8z8PXJ14xgmenTp0c8YuZTVgmAiIgAtkiQEczZXCwkzrTaSO2nnzyye7LL7/0SRF6iDokcdPzxSi3mSuE+PJmBxxwgB81RMe7TAREQAQySSCtAigVaxviGC9+XKIboVcMw+tIJgIiIAKFSICZk20Yuq3x0gwutp9KMV6dTNxD4928MRFHbZtykc+UpYka7pS5CJZVq1b1AiYVR4Z2JhIE4nFFDJGJgAhULgJ4ciNwvvbaa/7G6HDB05OF8qKQjKGj7733nh/WztB2YnvGM2J50qGOFzxLw4YN4x2mfSIgAiKQcQJWJ6QzKltGHbN79+4+5Alp4tn/1FNPJR0WKRv5fP75590jjzwSS4rRQn369HHHH398bJ82REAERCCTBNIqgFLhJnj81KlTvUt7sq727777rr9HgkPLREAERKAQCeCNdPHFFyeddbyYGO6DyBlPsGT4qomhCBlUEhE4TexkTacRIqhMBERABChHKDeI8YloeNBBB/kOmIMPPth7fSbqSMlHcoTloG741ltvucmTJyf0oGLGdjw8Wfbee+9KN5FTPv42ypMIiEDZBPD4pPOb+l22jI6hk046yU8sTJp0jjO3BqHm8slatWrlRxnBpkWLFu7OO+9USJJ8+oGUFxEoAgJpFUDhxTAjBND+/fv74Vfl9cATn4oCGmvdurVf648IiIAIZIMAMYhoaLPQcx7c5jPDw/EkCpsJk/TsU4ljSWYSDTyUEC5Z8OykgpqMUTaqfEyGlI4RgeIjgKcRoidlSrDBTYc0njVYvneUIN7iFY/g+cYbbyScwIiOdmIRm+iZb4374nv6dMciIAJBApTDDO2O17EdPC6d24Q+QvxctGiRvyx1TNrWvAPyyRgl2qFDB3fllVe6NWvWeKcBRkLJREAERCCbBNIugF533XU+1gizzxFo/oYbbnCnn356qZhyzFo8aNAgd8cdd/iXBN6fJ554YjbvXWmJgAgUIQHKo+XLl3uxE2+psowYSjS2ERWCYme8ii1B5jmWiqdNIITHZnDZcssty0pO34mACIhAXAJLlizxs7jToKVThjIJL0+Ez2zGl4ubuYg7yTfenW+++aYXPul0imeUmx07dnTEiNvvz5ielLEyERABEcgHApTBV199tWNyo8aNG/uJ2OLVETOVV2K+I37yjsAIdzJy5Ei38847ZyrJSNeljkx9mM64Hj16RLqGThIBERCBdBBIuwBas2ZNd+utt/peHQpjZninpwdP0Pr167vff//dLViwwH311Vd+Rjxugt4fAjTjHSUTAREQgUQEECEJ8B702MSL8sgjj0x0it9PZRSvTcofyh6GJiVj9KonmlU4fD6NcoK6y0RABEQgHQSYLI1RMq+88or7+OOP/SWJ2cuwQcTPbDay03E/XGP16tU+liei58SJE2P1wPD169Sp4w488EC/MLJIXkJhQvosAiKQawK0Z88//3z39ddfu48++sg98MADjrAc2TLSJeanxUUm7WeeeSav4h8jeCJ8IoDKREAERCAfCKRdAOWmLrroIt8LRg8PIigVXirvVoEP3jgeU7wwNLwzSEXbIlDcBPAKorzAI8iGprNGEAg3+ik7iHEX9NDEO8oWhAIWDI9PBFNEVLw0ES1ZiMXJYtu2n9kzZSIgAiKQLQLUlxAHmbzogw8+8B03wbQ//PBDR8cM5Veh2MKFC/2wdoa2U67TGRU2hrZTlhO3dK+99vJDNzfZZJPwYfosAiIgAnlBYNKkSa5Xr16OEY0Y9UuGoGdLAGWEErO9U5/FatWq5cXPHXbYwX/Ohz+U4dStbYLkfMiT8iACIiACGRFAwUollnhOQ4YM8esvvvjCzZ492/fi45bPQgynM888s9TweP0sIiAClYcAlUPES7zAaeQmY+PGjfMzVyZzLMPZWRIZQmjQbrvtNj9RxgYbbBDcrW0REAERyAkBQgbh6Tl27FgveobLLDJFI5Kh7wwDLwTxc8aMGf6eED3nzJkTlyuTMjG0HU9P7ouOJ4wYejIREAERyFcCjz/+uA/hZp051atX9yHfdtxxx6xkmfb1Kaec4uNokmDdunW9+InnfL4Yk3SyJFvvz5d8Kx8iIAKVn0DGBFDQUfBdc801MYp4bqkgjOHQhggUNAEm3mDYjQ1HD3trmuemeV++9957vhFvEwiZhybrsPdmPM8fGsvmmRn01KTiWRGTV2dFaOlYERCBTBP4/PPP3V//+tdSyWy99dZ+ZnOEz5YtW+b1REaU4VOmTPEiLh6sNiQzfFPEp0PspJOcWdsLaWb68L3oswiIQHERwMuzb9++7qWXXordOHNYUH4nO6ll7MSIG3jRn3HGGTHPU0RXYn5my/M0Ubap4+PogAcqHXYq2xOR0n4REIFcE8ioABq+OYmfYSL5//n555/38caIOUbDRSYCRuDTTz/1PdD2ubw1jXwqR9ZjXtbxxHwLip1sK35QWcT0nQiIQKERoFOYuMSNGjXyHcZ4gtJBs88++3jPSEIE5bOnOmIAcTzxXmX2dvIfzyj3CVPCwjB31QXjUdI+ERCBfCZAvM1LL720hEf7EUcc4S688MKsDfF+//33/dwav/zyi0fFpHhPPfWUFxxzxY532LBhw3zn10477eT+/ve/S/zM1Y+hdEVABJIikFUBNKkc6aC8IYAHH/FZzRh2x8uWxhozHRLGgIaNZrY2Qvm7xsvyu+++85P/MAGQLcQO4ndmzb6ePXu6448/vsSN0EgPemvi0Unlq7xJKWjk0iNu3ppcJxnxk8Tr/zlhGotMBERABCoTAcpBK0NZW5lI2Ut5iUCYz6InIuf48eO96Pn222/7uHfxfh+LzYzoma1hofHyoX0iIAIikCqBV1991V1//fWxSdsooxE+y5uAM9V0g+e/88477txzz3Xr1q3zuxkVMGLEiKx5ngbzYtvM83H77bc74jxj8+bNczjOMDxfJgIiIAL5SkACaL7+MnmQL15kQWNyBnofWYKGZyhi1S233OLq1asX/ErbeUCAHmpmPqfhXZ5xHGIojXIbls55wXOpfPEdw1vatGnjBU5meAx6bDL8hX353JAvj4W+FwEREIGKEpg/f773imQyDBvWTgcSYqctwfLUrk8czHw1Os+I5UmMUoY5Uv6HjUkumLzokEMO8cPbKxqaJHw9fRYBERCBfCHw8ssvx8RP2jyIoU2bNs1a9ih/EVwJPYVR98brMpchnfD8x0nGBFnq+5dccomflT5rYJSQCIiACEQgIAE0ArRiOQVRs0ePHo4ePhp19PAx1CFs5k248cYbe6EsmeFtNAQ5XgLZ/2gynBCRObgw63l4qV27tg++/r8z/7dFwxrxMuixGRYw/3d0ya3111/fxxRKdgKKzTbbzN16660lL6JPIiACIlBEBH788Ucf+3Ly5Mle+OR9acYMvZSTNFrjiZ52XD6uieGJ4MnCzPPmqRrMK/e27777ukMPPdRPaknMUpkIiEB6CVCfowyh48HWbNesWTPphKZPn+5nKLe6IeeHt9mHmEUsyVNPPTXpa1f2Aym7mc9i1qxZ3tnjqquuctks6/7xj3+4K664wv9esKajaejQoX4yz1ywp61y3333+bAnlj4dXnfddZfbY489bJfWIiACIpC3BCSA5u1Pk/uMUQlieAeNHIRKGkDLli1zxMExQZTG3tKlS72YScVp8eLF/liGR7NwHp4hLHw2cZSZuJ977jkft4Z0ggveg0ygxXBAFjwJWfLd4MPQcAREFgKBJyvwUpmARzKGN86aNWv87xEWO+M1UmvUqOE9j4xjorVma0yGvo4RAREoZgK852wkBGtiG8crd2E0YcIEP8N5ofDi/f3aa6/5Zdq0aXGzTcOfCYwQPTt06KBYb3EpaWdlJYATwJw5c7xQyDaCJGWCbfM5uM3/CvXbZIx4ug8++GAJkZPrJTI88KxOnegY20+MXjozkjFCXUkA/S8pRGFGReEgcM899/iRTskyT4Z1ecc8/fTT3tvUOtCYEG/IkCE5K3dxhLnpppu8mG55J2b11Vdf7cVh26e1CIiACOQzgaIVQKmwEKdk6tSp3uOOeJZMOEClPlnRKvjDzp49240aNcp7STJZC7MCdurUycfIDB4X3I5yTvD8bG9TAahTp45fOnbsGEuexh9eixgvaSoMLHh5hs0EURpanGczh8+YMSN8aOwzjSx6O5O1wYMHe8EVD9PgYr8rlRdb+M2JY5qMffnll27QoEE+5hlCJ/fH2hZ6RYNGvB7ERzPYcM/0uhsnnkO2KzJbIh6hiSabsLSC6379+gU/alsEREAERCACAbwijznmmLgjIexyxLvcfffd/dKsWTPbnbdrGrRjxozxS6L3MJ2SxPI87LDD3J577pm1CT/yFpoylvcE6HzAO5t6GfUsFtu2te3nuabun4zRAX355Zcnc6g/hli4tWrVcptssklMrLT6pwlp1K3ZxlGA+l2yRlx+u65dk3PtusE1zgTJGnVSmfN1fH5v6uwY5WA27eGHHy4xyurwww939957b7nx9zOVxzfffNN7fvJ/g+HUwpD3zp07ZypJXVcEREAEMkKgKAVQvOcuuOAC760IVTzibKgXw9gQjBDOkjWEVF5KGBMC0fv7ySefeI8+PB132223UpeKck6pi+TJDipvxH9MxmzIDXFrEAepXJTVw801EQc5DgHTKoq2tkofayptXH/48OFlNlCD+bzhhhtKCaDmzcP1ggsiL5XqZG3BggWxPHHNeJVKG25ORRYhFu8aFrwxWVNpZds8Ym072TzoOBEQAREQgdQJUIZTTvOOD4oUNIoROVh41xfCaAVGcDCpB8InwzrjGaIN8TwRh9q2bevfvfGO0z4RiEqAZ4/O8GCHMuKkfaaTmc8s1I+otydrjz32mO9gT+b4du3axYY0U5ekfonFq2daR3oy1+UY6q/Uj5MpFzgOBwobQcWatoh9tpFUto9rI4AmY/wvN2jQwIusXIf74Lq2bdeGeUU65JNJu9COoa5OO3Ht2rVx6+3ZuJ8777yzxCS0TE5KyKmKPn/pyivt2meffdZ3JHBNnGHwiK1bt25cZ5d0pavriIAIiEAmCBSlAIr7PpUuKj1MUoCoxDDu6667zsfwYjjylVdemRRvPCY4ngoJwineing/ErPFrjNy5MgSnoBRzkkqMwV0ULAHnV56BE4WhppYxYP9VEB22mkn99NPP5V7d1RaEBR5USdriJpMVkGl14TPROeaWBn8ngoylcXNN9/chwogXIAtHJdsXhjWwmRFMhEQAREQgewR4L0TrwOPzjTzELM1nXV4QPKOMsGThmAhGJ6eDJktS/TkXhA8eRcxOkImAjz7CP7UfxAmWYcX249QeeONNyYNjWeRyV2SMepY1LWoq7Gmg9jESltzHRMt6ahghFEyxvl0biRjCJnHHXecr/MjPrKQH9oAbLMOLoRCStbwsmbJhBE3kqU8o07M71isRhlPOyTZunu6OdGOufnmmx1D383OPPNM17dv35hnr+3P5ppn+4477nCnn366b+cixvI/yLtQJgIiIAKFRiDtAugjjzziPQrOPfdcl+zwLwRJ4k7hRn/ttddmlCE9zgT0R6QaMGCAr7iQIBPL3H333a5r164+Lz179kxqdj28DXlhnXLKKc6GhdOrSgWJeJl4eiKGnnfeebH7inJO7ORKuMFLlIXe6XQYFQXETCowVGYQpFnToOW3YjFr3LhxqX32XXjNDPePP/54rMJLpZffWiYCIiACIpD/BOhImzlzpvv0009jC2X4u+++698TJnSy5p0RfFfY3Z111lneC9Q+5/N6wZ+jEF555RU/woUQLvEMgYahlSyE7pFVLgKIWXQk06HM88/SvHnzpOq3kCCUD95oyRqehCZUIkbaYiJlcM1s2ska/4+IoBj1dwTOsow2CPdqHdLkybZZ89kWu25Z17PvOJa2Q7IW9BZP9hwdlz0C/G/YTOo8L/xe8cr9bOSINkqfPn18m9HSu/jii/0ESPY5F2vekYx0oA30wgsveKeUXORDaYqACIhAugikXQB96aWXvIcBgb+TFUDffvttP6kAsbMybaSFMXMplZ+g0bPLDHZMbIAgy5CDsoxeb8RUjOElYWMfAujo0aPd2Wef7YeaRDknfF19LptA+/btPeuyj6r4t/TqF4q3T8XvTmeIgAiIQOUhgIhJhyeCJ6MuWJjAL54RsiaeF2i8Y/N9H6NbGN6O8MkETfGsfv36foJDRM9k62nxrqN9+UEA4YZ4gYg5JnbaNsJh2BDwCNeAGGlDn02oNA9K+0wohIoY4mIyw7255gEHHOBHRzHsO96C2Mj1WJNXvLWTtS5duiR7qI4rUgKEtMLphtF/tBton+XKcNggnmZwoirEUIT8XBr/e7wbKQ8wRuTJREAERKDQCaRdAK0IEHq75s6d6z777DN/GgVtps0aBAx/j2cmgE6fPr1cAfSLL77wPYXEQIlXSWQmRXoWmbCGYdbEMIpyTrx8ap8IiIAIiIAIiEBpAlOmTHEMG6SOUZbh2UKDjmF8hSyAMjkTHa0seLfGM7x3GGWD6IkHoCx3BPAwQ7Skbsizx8K2fWaNQBmvYz2ca4QJnmPCGyRrdP7TmYu3G16YiKCJjJE5hHaiLovXpa0ZtcPn4D5ETEJKJWt77723Y0nGcjUkOZm86ZjCIkAIh9tvv9397W9/8xknfBkdCNWrV8/JjSC8MuqQkQgYYj/D4Lt3756T/FiihIXg/1wmAiIgApWNQOJaTxJ3SpyocePGlTjSepvpfbUeoxIHBD5wbDDuIoH2M23E+sQSzYho+/GiKM/Ku5alQ08810MAjXJOvHx89dVXMe/T8PcM+cbwgOFFH8Xsd+Rcrhf8naJcLxvn2LAV8mvb2Ug3ahrBPLIdZB71mtk4j2ehkPIbFEGC29lglWoa5LdQnovg81woebbnodDyy3OFIBC1fOfdkIrZb0369r6p6PXsGqyj3kc4Ta7Fb8p73H7b4DE1a9Z0jRo1coQ+YWHUCeIRlswzYNdM5thgupnYxhuOkSp4e06dOjVuEnTOIqIxwzWipwld+ZD/uBn+/532O+Z7Pu0e7FnmM3lGwIhnxM2jEx6Bs7w6FZ6P1LGpRzPxCddk29a2z9Lisz2fpI3Iyf8BAgaipK0RMOmwtziPTHpTVl2dEAk2yWe8ewrvs+uG96f6OXhvlDnpKjNSzVd551u+CyW/wfKcZyOq8Mx9l/eMl8WOc7lGVG7GnTSCzwudY8SpXb58eSz5+n96xHNMLsobOj/OOeecWMcV/8dMnnvMMcfkJD9AoTyg7CAv5fEPPi/87+eCYeyHTHLDnkvyG8x/kqdn/TDLLwmzXd5vkvUMJkiQZ6GQ8hss66gjB7knuMW82R3Me95kKkFGrL7EOuqzbG0Yu1aCpMrcnZIAetddd7mWLVvGLfAqWgi2aNHCF/hl5jYNXxpsEzrDl7TeLjsu/H3wsx2T6FocG75elHOCadr2xx9/7Pr3728fS6wtP1ReiPuUqlX0t0w1vVTP54VWCC+14H3yT2z/0MH9+bxdaPmFZaE9G1TigxX5fH4egnkrtGej0PILayo8USs9qYoUVung/cLkCKlavPcU/6uMnKCzjwVPtKBHHHmggsr7yf5PguX+zjvv7Ifi4uHJgtgZjhvI+VF++yjnpMqI8+FEpzOTx9CQj1dBR+SFE5MZBT09jVE68pGNa0T9bdKdN54vRAq8JZkgJrhGIAjPTB7+nwyKlnSGc41kjN/ahMlk3gFMuokHJgIn9U4T9hOlZcN98UQtNOM3KbR6abwyLt+5W3slSj4pi+OVT8lei3O5Rjq48azQ6TBkyBAfGsTywP/vCSec4Od+4H8t2+X6ypUrvfg5b948nyXepcxFQYi2bOfFmNBJRucL6Vc0D6k8L5Z+NtdWBmYzzVTT4l2Qjv+JVPNRkfMLLb/cG/oJS6EYdfpU6/XZvlfq8FGfDSubrC0SJe8pCaAM8eaF8tFHH8XSxiOBRguVb4ZclWVU0Kiw0bAh3mayszCWdc2yvuOFag8IlcR4Zg0kgxvvGNtnhWeia3GcXc/SjXKOpae1CIiACIiACFQmAryXmTCQCXvmz5/v18TqZNREUNAkbA0NQ/bRCGBt3m/xeDDEsTIYlXBilyN6Tpo0Ka7wwzBm8/Rs1apVmVwqA5NM3gPC8ptvvumFTrxsES0TGfW7yy67LCZUIqIgqpiXZvj5ZCIRRA7qunRU2xoPTT4HF46tiAXF7oqcp2NFoLITwEOeGcy/+eab2K3S7mSCIbw/c2G0k/H8tFGBlCWDBw92bdq0yWp2EC0feugh3wan0zAboeiyeoNKTAREQATiEEhJAOV6zIjKYsaQHQr2Cy+80A/fsf35sKZySs8WDYpEAqftZ8Kb8gzxFgv3+AfPs+uZl0yUc4LXs+3WrVv72QLtc3BNg5IhFNyreaAGv09mG0bmdYBQbZ4IyZybq2PoCeC3oAeTRki+m+WXfNJQSuaZy4d7MgHCnul8yFNZebD8ckyhPBvklbKD59iGrbIvn83KOvJYaM8G/3thsSIfWZvwR97Ic3giv2TzHPU8u76x4v0S9bdGWKIDlVlly3qHWpp4gXL/pM3/RC7+L6wsyfTzQjqInS+//LJ766234noiIJ4xtP3II490hA+K944OPi+FVpZwP+V5MdqzEW/NveNhheiRbMOeNBEEmBQrGcN7EqGS55f0MDrE7f8jfA2GwOfiuQ3ng888Y3TIUycthPoSfM3DjOeC+m0hmOXZ6v75nmeeCZ4NLJVng+c8XpmU7P1zLteI2oax//94Xp8nnXSSF/xy9dzPnj3bx6hetWqVx8GkYU888YSfkM7ehdloD9DpeNNNNzliSNPh+PTTT/vfPNnfiONoK5o3dirPS0XSTPVYK0sQe/OlPC7rnmjTm6c+z2yhlCU8G5QlZTmJlXXf2f4ORzX7/+P9kkr9I1t5R0egLk09PGpdPFt5tXTM65N6UtRnw9qbiepallZZ65QF0PDFTz31VLfXXnv5+Fp8xwMVr7FFL/suu+yS9d4mKqsU9Il69W1/MgWM9dDbjxlmwefw9aKcE++6VOhZ4hlDtBBA+WdI5j7iXYNCy7xWeUHkqqIQL2+J9pmgSH4L4aXGfVhhyz9xIRS25JmXMUuh5JfnwhqnPMeFkm8TQAslvzzLsMYKJc/klWcjG40N0krVKCescUqeo5bvqVaUrNJB+lGvRYWe58TKwDAbGoXEzQ4u+fBcZep54X8HT6WXXnrJx/WMN1QaL6GDDz7YHXXUUW6fffYp9z0XfF4KqezjmSgvv/wOCAjE8mNB6AwueG/ynsII14RnLNe0+oFt2xrBhaVp06axR5Hne/vtt/eTozBBii143LLNd3hvkpa9Y2hUpyL8xBLP8AbvF8SuQhEBeCZMTOQ3jFr2ZRhrqctbQ61Q8gtne8ekIgLwf5XK/wHnco2o3LgPJoR75ZVXYr8JYVB69+7t3ymxnVneIHwZE/RZu7F27druqaee8iMhyYqxz/S7buLEie7OO++MtfPoLMJ5qaJzcQTDUdDWL4S6FIwpS8hv1PpLNh+boADK/0XU/4ls5tmeZfJeKPklr5QbGM9FIXSyUW80AbRQOJNf8k39NGqeTeOxtoj/0Sr4J+0C6IknnuizwGx2DA3Ca2PWrFmlsnXKKad4138mS7r//vt9rK5SB2VgR3kCqL2UkhmOb2KmiZzxshu+XpRz4l03G/soCD788EM/SyhDs+iJRa1PpVKTjXwrDREQAREQgfwnwCQ9CEj1/xyGyMKEK7Zt4WPy/y5SyyHeQIieeHvacMjgFamId+rUyYue+++/f9wO5eDxxbCN4Egd0kTH8u6Z43jWkrH27du7sWPHenFTw0GTIaZjRCA/CeCM07FjRzd58mQ/ozqen4iqubIJEya4888/PyY6Epsa8bNGjRpZyxIiz7Bhw9yzzz4bS5P3LsPvEznVxA7UhgiIgAhUEgJpF0Dh8vjjj7vzzjvPu8XzskFIC/YKUQAvXLjQfz9y5Ej/cho9enSJgP2Z4kuvPUaMMSq6YWM/FvQCCB9jn+1aeJTSCxbusSPoNt6YCIb2YolyjqWX7TVeFT169CiVLCIoYqgJorYd77N9Z+ewDnMqlYB2iIAIiIAIVHoCeDHicVIsYqf9oAw5RPR88cUXHQJo2Kgz7L333u7oo4/2w9wrMx/qg3hussYbKpHR02/em8SXL6vnnzoGokKdOnX8jOeskzVYV2beyXLQcSJQGQice+65rlu3bo45K3JplPV4n5qHJx7pCJHJONukK9+MuiAMR3DeDgRiPORpq8lEQAREoFgIpF0AnTt3ruvZs2eskCcwf1gABS4vAzwehg4d6hb8GYfk9NNP996GmfYuPOCAA9zrr7/u42p17969xO9MBXz8+PF+36677lriu3gfatWq5V+qNGAY0k9jLmj09uF50KxZs9hQ/yjnBK+ZzW3zXg2niccrSzxvlfCx8T4z7MAEURNN+Wz7gmvbH9xH48Tcn+NdX/tEQAREQATyn0BZIlb+575iOeSdyURG//jHP9wHH3wQCxcRvAr1jmOOOcbHT2eYdWUy6kJ0FjPMMrgsWbLE1xH3228/d9111/l3Ox3m1BPwDkbMNOEzyIPJQhhGhWcnCyInAioL7DJdlwzmRdsiIAL5ScCcMHKZu0cffdTdfPPNsSzQufXII49EHv4Zu1AFNmhn9+/f3084aKfRVu/Vq5fKSgOitQiIQNEQSLsAOmDAAC9+EhsJ706GboWNiimTJbEwZJ6YVsRFIQAzMUQzaXh9MsQOoZYZ65mt3oz0GVrFcABmnA3ae++95+MlMWSB2QPNGFLRr18/H8CaHj2EOuzbb791zzzzjN8+7rjj/Nr+RDnHzs3mmnuh55Q4UTTeEESDiwW+rmieiC3KQsyZqEZsjqA4atvsp9HEglBq+20d3FcI8T2i8tF5IiACIiACuSWAt88777zj/v73v7tx48bFnXyRGKeInix4NlYm497ff/99N3/+fC9+mvdTvHtkxAlCJqI49SeG/vPeTmQjRoxI9JX2i4AIiEBeEGA+BmZZN6PdO2jQoBKjIu27TK2ZUG/gwIGxofeE9iBfOCjJREAERKAYCaRdACXWCkaQ53jiZxgyMa3OPvts/4KgspxpAZTK9TnnnOP69u3rbrnlFl85Z3j6jBkz/DbeBldddVWp4VX33nuvD7TPuUEBdN999/XD5b/44gt/H9wPlXxmbkVMpacvzCHKOWFu2fiMUEyPIUJhvLg5iJhBQZTtoFBq27a2Y+0zwmpUY3Y5FhpKUc0CrNNDjDAaFEeDn23bvrfPNM4I4MtSTJ5MUXnrPBEQAREoBgLTp0/3oicTcBAGJ2zEAu/cubMjBnrLli3DX1eaz9SLbFRNopuqWrWqY3KS5s2b6z2aCJL2i4AIFBQBPN6vueYaN2rUqFi+ad/ecMMNWfW4pD06fPjwmPhJJ9uDDz4YC8sWy5w2REAERKCICKRVAKXAx80es8mQ/Idy/nTo0MELoFSWs2HEPKEHDgGUYeosGIIfEzdVpEGCiMYkTlzvjTfe8F6sXIv9eE8yxCA8FCvKOVwz34whaiwW17Si+eN5ISZNUBg1cZR1eNv2BfcjgkY10re0o16D8xA/EUFNGC1rHTyObRNhEVNpFNMzKzE1lV9D54qACIhA9gkQEobQPixM/hg2OhLxuEH0JFwOZX8hmcVux0szXgga9tGBzPB1FrZ3220398ILL/jbpJ7QuHFjxygaBE9bGK0hEwEREIHKQgDnkAsvvNB7/ds90ba89NJL7WPW1pTLd999t5/PgbYt24r3mTX8SkgERCBPCaRVAEW4MbGvrKFOYRa8LDDEtGxZ69atfc8cXprEpaJyTtB8y384H88991x4V+wzQ7Xo6bvyyit9w8fiUiFwJbIo5yS6VqHupwFow9Wj3kNYRF21apUfZmjD9hFLEVmD4imfTXi17ajD+ck3v7ddJ+p92HkmpvLsIIoiiJqgauIp6+DC9/adHW/fZ/N/yu5BaxEQAREoBgI///yzD6XDEHeGeoeN8pxRIF27dvWTGVE+F4qtXr3aT9BExzRxzr/88ks/6oIO3xYtWniBk3qMiZ3xBF3iej755JOuUaNGbptttimUW1c+RUAERCASASa/ZfJYwrphvAMIDXfyySdHul4qJ5E2HvaEdaMNi/dnojZuKunoXBEQAREoNAJpFUApWClg582b5yZOnOgIUp+MEV8Tq4jnZTLXTeYYXg4s6TB62vBwqIhFOaci16/sxwZFVIRIGqSIfnCtiCHCm4jJ2oRT2w5+TnQc+03Mr0jawWODYioz46Zq/E8ikAaFUdtmbUIp67L223EcIxMBERCBYiVAGU2on+eff96Ln/FGIVAPOPbYY/0s7sRDLwTDg5Wh+4QDmjlzpmOm+nhGrE7itidjTEZU2SZzSua+dYwIiEDxEaBsZELfOXPm+Junc4jwacG5JrJFhbYRjj3kAav/5whHmQiIgAiIwH8JVEwlSoLa0Ucf7e666y4/MRDBnun5L8uIlTls2DB/SLKCaVnX03ciEIUAoikLw9BTMfNIDYqkwW0E2uDnNWvW+Emm2EdDmu9ZEFxTFVO5D4YtpmOYf5AJQxtNPA2vTUhlf/C78Hb4+0RxZoPpalsEREAEckXg66+/9qNGGOIeTxxE6GMiI4a4N2vWLFfZrHC6vLNOO+20ciclpGynkzpqyJsKZ0wniIAIiECBEED0RPxEBMVwPGD29z333DPrd4BnPm2ZijqCZD2jSlAEREAEckQg7QLoeeed5wYPHuwFHGZcv/zyy925555botKMB8XChQvdPffc4x555BEv0rRt27ZCcUNzxEvJikCZBIIeqWUe+P9fInxieGoiCgYN8ZLvTTQ1cTTevvB3wc+EA+CcdevWBS8feZtwAQzzYUmnUWkzYRRB1MRU22ad6Pvg/vB2vKGZ6cy3riUCIlA5CdAR9eqrr3rh04Y0Bu+UMuvAAw/03p5MblhoZQ1DJCkvETVXrlwZuzX2Mzlkq1at/LLrrrv6mJ0aPhlDpA0REAER8AQ+/PBDPwkuzgYYnWE49jCxW7aN8pxRjSqrs01e6YmACBQSgbQLoAS4Z4Y5YqAQQ+qvf/2rXxAzCJ7/+++/O4ZaBcUYhA3iRKm3qpAeHeU10wSowBCsPF0By/H0MWGUtQmjrMP743224+07PFb5f06XUSawUG6k2xgGZAIqZRHeviaU2rZ9z9q2g9/ZfvuONd+zxitWJgIiUPgE6KAlnicx08aOHRvXE5/JfRjifuSRR/o41oVy1wiblFWUWywIuLxnmJSJ+tfuu+/u6IxmNE663juFwkb5FAEREIGKEnjttddcr169Ym3aBg0auBEjRvj2bkWvlcrxlO2pzqmQSvo6VwREQAQKiUDaBVBu/swzz3TbbrutnwUPsRNDNCGQfthoQDBkvryh8uHz9FkERKBiBPBOSoegikjJJGcIiawRRk1EDa6D2/z/2xD/4PG2z9Z8l25hFUoItSzp9lq1XwC2QYE0uG0iaaJ99r2tOY5thBiGUfGb2T51EhlxrUUgvQSYDHHUqFGOCY2s3hJMoWbNmn6IO3WWXHj2BPOSaJvhlx988IH77LPPXN++ff1hJnrSOMYzKJ6XKiN1ZCIgAiIgAskTQOjs16+fr6txFpPrPv74465KlSrJXySFI3EWoG6NcxFlO3VymQiIgAiIQPkEMiKAkiyxQA855BBHjE+GkBE/i0ld8LrCS5SlQ4cObv/99y8/lzpCBEQgLwkgyKVDVA3fnAmrYWHUxFPbzzq4L952cF8mxFXyHoz9Gr6XdH6GtwmleG+ZMGrr4He2zTrKYt5h6cy/riUC+USAOMt4ef7tb3+LO4s7/wPUY4477jg/mzv/58HRK7m+F8KkzJo1y4ueCJ+LFi2KZWnJkiWOoesWZoUyIp74GTtBGyIgAiIgAkkRGDhwoB/taAd36tTJh3+jnM2GLViwwF1//fXeg//ZZ5+V+JkN6EpDBESg0hDImAAKIRrdeEuwyERABEQgWQLpFFbN+5O0ETQQAUw4ZV3WdvB7xBLEVNsXXge/R5jIhCEMI2iYqJGJNILXJHQAzCjLbZ1om9/Mjt9qq61ioivn2bnx1uHv+YzXmkwEMkWA2c4Z4v7yyy/7SeLC6eDJ061bN9e5c+cSQ8ERQHNt5IH8T5w40U2aNCmhVzsxSxnOLhMBERABEUgPAWLgX3PNNX6kgF3xhBNOcLfcckvWOpgo22+66SZfHyUP/fv3dw8//LBlR2sREAEREIFyCGRUAC0nbX0tAiIgAlknQMw7hgplcrgQoisCKaJoUChN9DnefkROroPHWfBawc8Iopk0E4+ZDCabRpzCeMKo7StvbUKsHRf+bPt5FhBbGbJmx7BmkVUuAmvWrHEvvPCC9/b88ssvS90cs+Z27drVHX/88X6ESqkDcryDkBhMMInwyb3Es4YNGzo8kRhZg4jL/69MBERABEQgdQLUyZjol44ns0svvdRddtll9jHj6zFjxrj77rvPTx5MYvXr13fXXXddxtNVAiIgAiJQmQhkVQAlVonFtatMEHUvIiACIhAkYCIacfeiGpVtu06iayCAmnjKOt5i4ql9h4Ba3jl2DMcFtzMtuNp94mXBki1PV0s3uEYkhX94Hd5n39tvFVyb0BrcF9wOnovoy3fx9rFfVnEC1DcmT57sGCL4+uuvlxIE8QZHLMSDhzVezPlqCPXz588vIX4i4DNxEaInS7169fI1+8qXCIiACBQsgRUrVvj5Lb744gt/D5S9AwYMcN27d8/KPfEue+yxx/zIBUuQsv+BBx5w22yzje3SWgREQAREIAkCGa3tr1y50t1+++3uo48+cnPnznUE6CfYPpMeUZE/7bTTHL1neF3wMpEVJgGLQWaiBV4nbDMMmIUXN8P22KaRT9yaZG3atGlu2bJlJSaYYXgtcScRlyQMJEtSx1VGAgg2TJTEkg2zGIgmpgYFUiaYsv2INcHvEFFtsf0mrNr+eJ+D32Xj/oJpWNrZ9n4N5iG4TVlH+ckybty4EkOzg8dp2zkaq0xoRGxPYmGGbccdd/SentQ9qlWrFv46rz4j0hI7nYXY6p9//rnbY4893KGHHurjkzLhpEwEREAERCAzBBgxcMYZZ/g2LCkQ5xNvfDqdsmG0qWhLv/vuu7HkeBcgwKoNFEOiDREQARFImkBGBFAEr3vvvdfdcMMNJbwVgrla8GcAZ4YRsNCDNmzYMN+wCx6j7fwmYHH6ELfxsEnGeFkHg4TzrGCsw9t8fuONN3xjP9G18ZaySXiaNm3qevTokehQ7RcBEUiRQFCMCV/KPPzZnwlBNiicmjhpaxoIbHOMbYe/43P4O47HQ9aEXfs+0Tp8z9n8TJ5YsHz2VMwmk2Ba/Ibjx493zzzzjHv77bdjQwTtGN47xCM/8cQTXZs2bWx3Xq55t5Jf/o+IuWvv2i5durjDDz/cz/iblxlXpkRABESgEhFgBEHPnj2ddYQSKoWZ3lu2bJmVuyRdZpqfOXNmLL2LL77YXXTRRbHP2hABERABEagYgYwIoPfcc4/39CQrNNR22WUX//KYN29eLHcMpcSTBU/BkSNH+sr+0KFDY99rI/cEaHQRJ5HhFTTC8NJlH2vbJpc1atRIOrOImtWrV0/6eGv4JToBUQNPY5aqVav65w2RhvNMUE107ogRI3zQcio05In7YM35MhEQgfwiQBnEkk7j/UMZkqxgayJkUCC1bRNYg8fYdqLvEu2382xNPtnmeBZ5ffzvKVi8eLH39GRSo2+//fZ/X/z/VqtWrfwQ96OOOirp37nURTK0Y/bs2Q4PTnsn0qFn8YnjjYrhOU32Wc1QlnVZERABESgKAi+++KK76qqrfDuVGybG8vDhw13dunWzcv+8z/r06eMWLVrk06PNzGRLvMtkIiACIiAC0QmkXQCdMWOGu/baa32OjjjiCPfggw/6uFS9evXyXqGW1YMOOsh99dVX7uSTT/Zu/XiA9u7d2zVu3NgO0TrHBGiA0SDDE4V1Ittzzz3d/fff7xvlNMxtQUg0sdTWFfVcYkIKvHWYfZuFmIBMAGHL6tWr/TbiQM2aNb03KIItebYh+KzxDkJ0Z23bTIjBNYNGnrfffntXq1at2MJ1GzVqJK+bIChti0ARErCyLVe3bjFfCQNSzIYg/NZbb3lvTyYFChvhUfCWxNuzSZMm4a9z+hmP4wkTJrhXXnnF14GOPfZY38hG+KSBKxMBERABEcgtAWJr3nnnnbFMtG3b1uGkk814m7zvCS2E8X4gT3vttVcsT9oQAREQARGIRiDtAuigQYO8hwozkBKDCyEqkdGLxsQEderUcd9//70P8Dxw4MBEh2t/nhLgd8xUj+i+++7rWMozhExEUBqXZia62ufgGiE1LH7yPeIoMUdZgnbhhRf6+GvBfdoWAREQARHIHgG8PRnijrfnqlWrSiVMbExC6hAfM93ewqUSq+AO4p6/+uqrXrgNvnvefPNNP8RR4mcFgepwERABEUgzAURHZlUnfrQZYUfuvvvurL9T6v85w/vDDz/srr76aj/ze7515hkfrUVABESg0AikXQD99NNPPQO8QMsSPw0Ux+Ap+uSTT/qJkmy/1iJQEQJMEIGXalAALet8PLmeeOIJ98033/gJM5YuXepoXC9cuNB/Dg+fb968uatSpYr3IqWChNhqEzyF06FhztBGRGE8SdWwDRPSZxEQARFIjgDlLd6ehMqJ5+3JEHK8KPH2ZHKjfDLeEcSQY7RBMIab5XGHHXbw+eY4mQiIgAiIQO4IEG/zggsuKDHZ0Nlnn+0F0fLCcaU717RnCI3CCLTXXntNobnSDVjXEwERKGoCaRVA8Z5jhlKsIpMM4K2BAGpxTor6F9HNZ4UAAmiioSSIm4ihLDyTiKLEsWWypaAhkjIU0xYa6mzTCWCezHih4uFMT64tDRo08JUavpOJgAiIgAiUJsDs7UyuhycOMZ7DRvmNt+fBBx+cdzFR6YgbO3asI4YcM9IHjTArBxxwgDvppJMc4WOy3bAO5kXbIiACIiACzuEEceaZZ7o5c+Z4HNTP+/bt6874c/b3bBviJ6G47N2geQmy/QsoPREQgcpOIK0CKIU0AfoZzm5xS5IBaI0bvOVkIpBrAoijeBKV501E5SReTMDgs49nDyIqS9B7ifPw/qlXr55jeL1MBERABIqdAOXl23/O4P7UU0/5OJlhT3y8Pbt16+aFTzqU8tWITf3QQw+VmIiPBu0JJ5zgjjvuuNikR/maf+VLBERABIqFAHNX9OjRI9bRxshE4m3SUZVtI21ifJv4me30lZ4IiIAIFAOBtAqgAGPGVQL8jxs3zhEHNBkjDijWokWLZA7XMSKQ1wTatWvnfvvtN0fMt3nz5pWKJ0rm8TKdO3eu+/nnn/P6XpQ5ERABEcg0AcKG4OlJfE88P8PWvn37WGxPOo/y2Wi4Mpljp06dfD2I0QN4Fh1yyCGuopMA5vN9Km8iIAIiUOgEiMF8ySWXxMJnVatWzYfHykV7lAmWGEkpEwEREAERyCyBtAugiD8IoDfeeKM75phj3E477VTmHRCHkfgmWEWGzZd5UX0pAjkksPfeezsWMyZcQuxkYXiNLXgJ7bzzzj62KI1men1tOD0CabyK0DvvvONnoWzYsKE/3tLQWgREQAQKjcCUKVPciBEjfIxPQogEjZnc8ZZkqHh53vjB83K1zQgYwqQwCobhk5deeqn3KmL2YJkIiIAIiEB+EaD9SVvVRhrQccW+XIxGZHQDbQBGUMpEQAREQAQySyDtAiiz1T399NM+fiIV/9tuu8116dKl1F0QV/Gmm25yjz/+uP9un332cV27di11nHaIQKEToEGMN3TYIxqvJ4bGI37iGcRxQUMARRBFDLVl0KBBsdnr6alGGEAMZWGbipuGzgQpalsERCBfCdx6662O4YdBo5w8+eST3ZFHHpn1WXeD+Uh2m7IbsXaLLbYoUfbSmJaJgAiIgAjkFwHq1gifw4cPj2WsY8eObvDgwVlzLGD0F/ng3bHddts5JnKViYAIiIAIZIdA2gVQXPh5qRx44IE+Duj555/vWAjqjDHEDY8PxB8zCn563TQpjBHRuhgIVK1a1Qucie4VjyKWTTfd1B/C0NBffvkldjixc1k++OCD2D6OZZIlPK+POOIIL4zGvtSGCIiACOQRASYxuvbaa33j7+ijj3annHKKa968eR7l8H9ZwUuIyY2snsJQfDw+qb+o0+l/nLQlAiIgAvlKgBFZF198sR+paHlklAEOOdkKUcLorz59+riNNtrIt30lftovobUIiIAIZIdA2gVQsr3//vt7UYa4KibOrFu3zt/R8uXLS9wZQabvv//+cofKlzhJH0SgCAlQSerdu7ebPXu2X77++utSw+SJPfrFF1/4Ba9qmQiIgAjkK4HOnTv7OMhMDsTwv3y1yZMn+45dvOyp1+B9z2QVEj7z9RdTvkRABESgJAGcCJjsyGZ659trrrnGnXfeeSUPzOCnFStW+DSXLVvmU2GmeSZckomACIiACGSPQGQBlDgluO7joRbPdt99d0ej4fnnn/dri4GIF0WjRo187EOE0qOOOire6donAiIQIkCMoLPPPju2l2HxTLKE4GmiKOsff/zRH8OQHkRTGz7PmiH18YyZ6/lfDg/Dj3es9omACIhAOgggIp544ol5W+589NFHbtiwYT5+M/dLyBLKYImf6fj1dQ0REAERyA6BadOmuXPOOSc2+pDRUvfcc4879NBDs5OBP1NZsGCBFz8tzicjJs8999yspa+EREAEREAE/ksgsgDas2dPN3r0aHfFFVe4AQMGxHgiviC0II7i3s8kBiwyERCB9BJgCGazZs38ErwyPct0OCCYYjaEnm06IPDGDsYWZXvUqFHuueeeczVq1PDe2AyhZ8HjiaH6MhEQAREoFgI0lgnlM2vWrBK3XKdOHU1SUYKIPoiACIhAfhMYM2aMD7ViIxGrV6/u55/I5kzveJ0S7mXt2rUeFnVt5sCgji0TAREQARHILoHIAujSpUsdw23thWLZJpYKLxvEUWIQykRABLJLgImQEs1iyZBNBNGwKLp48WKfSYbnsEyaNCmWaXqpTRBlXb9+fYmiMTraEAERqCwEZs6c6T0+p0+fXuKWED4vuugiR8geJq+QiYAIiIAI5D+BBx980N13332xjBJj+rHHHvOd/bGdGd7gvXL99dfHYvgTp595L2rWrJnhlHV5ERABERCBeAQiC6D//ve//fXwlJCJgAgULgFEUWaR/+abb9z8+fO9l2jwbtasWeOmTp3qF/bvtddePhZp8Bhti4AIiEChEmBoO43i999/v8Qt4KVzwQUXuK5du/oRLRI/S+DRBxEQARHIWwKPPPJICfHzoIMOcvfee29WZ1z/+OOPXf/+/WPOQo0bN/bip0ZW5e1jo4yJgAgUAYHIAigiyJQpU9zEiRPdk08+6fbYYw//UmGWVIxZ3s2rLFmODJtnVlWZCIhAdgkQiB3j/5c4ogz9JLYoa4buBGOHMuye2KIseID/61//ym5mlZoIiIAIpJHAyJEjS4ifTHLExBjHH3+8I9SITAREQAREoLAIdO/e3VG2U4cl/idD0Ndff/2s3QTzYNx8882x+nPLli3d0KFDfYi4rGVCCYmACIiACJQiEFkA3Xfffd2gQYN8wX7aaaeVuvAZZ5xRal95O/r16+d7yso7Tt+LgAhkhgCTe7Ru3dovlsIff/wRm2wJQXTvvff2k4AgEmAIoMGYosQA5hzijX777beO/+udd97ZD6NnzfCf4BB8S0drERABEcg2ARrEF198sXv33Xd9uYTwecopp6iMyvYPofREQAREII0EmNRzyJAh7sMPP3SEZ8umMR/GbbfdFhM/27Vr5/OyxRZbZDMbSksEREAERCAOgcgC6NFHH+0GDhzoe9TkARaHrHaJQCUhsOGGG7omTZr4pUuXLn6WefP05haZPZ4lKGoSIgMh9LPPPnNfffWVXwwHggMx9UwUtfiiqhgaIa1FQAQyTYDQH1tttZX3xqFMYmhk27Zt5Z2TafC6vgiIgAhkiUDt2rUd9dZsG6MZb7zxRtenTx8fNuqBBx5wm2yySbazofREQAREQATiEIgsgHKt3r17O4RQhsoy3J3hsLj3M4T2rLPOck2bNo2TZOJdDKuXiYAIFD4BBAUE0eXLl5e6GcRRYu6xjBs3LvY98fYefvhh710a26kNERABEUgjAYRPwncwuRudO2ZMcCQTAREQAREQgVQJ4H1K+xgBtlWrVj6GdKrX1PkiIAIiIALpIfC/2n8Fr/f99997T4lGjRo5FrPx48d7AZQeN80Cb1S0FoHiJNCzZ0937LHHus8//9zHE7X10qVLSwHBkxxRAs9Rhs/LREAERCCdBPDA2XbbbRXXM51QdS0REAEREIEYAUYWVKlSxX9mVIFMBERABEQgvwhEFkARNkaPHu2uuOIKN2DAgNhdMUEKM6Va4R/7QhsiIAJFSWC77bZzxAxmMfvhhx+8IEpMUVuIDYoXKGYxRW2NKBoOtfHSSy/5XnWG0NevX1+ihsHVWgREwK1du9bHIqYuQogO1nh+4gEqEwEREAEREIF0E2Dou9q/6aaq64mACIhAeglEFkDx4Prtt9/8sPdglhAz3nnnHbd69ergbm2LgAiIQIzAX/7yF7fnnnv6xXYGvT432mijUkOGEEARQm1hdk8rZxhyX69ePbfjjjuWWKiMykRABIqHAOUEnbMjRozwMT1vv/12Rzkg4bN4ngHdqQiIgAhkmwD1WkYxyURABERABPKbQGQBlDh+2LRp0/L7DpU7ERCBgiBQnkCBFxez1LOsXLkyJn5yc5RHCxYs8Eswrigz1eNZ2rlzZ9e8efOC4KBMioAIRCMwffp0x2QTlAXYhAkT/ARsu+22m/+sPyIgAiIgAiKQbgIInwigMhEQAREQgfwnEFkAZcKiKVOmuIkTJ7onn3zS7bHHHn54mc0OvWrVKj8xUkUQ8PKQx1ZFiOlYEShOAgSYHzx4sJ+AjUnY8DyPN+ESQinLQQcdVJygdNciUAQEiEn+6KOPlphUjdvu2LGjj/lZBAh0iyIgAiIgAjkgwJB3tV1zAF5JioAIiEBEApEFUOL5DRo0yMfqO+2000olf8YZZ5TaV96Ofv36uf79+5d3mL4XAREocgJ4gR544IF+MRTEFTUxdPbs2X77q6++8rFDmYWTDpYtttjCMVzehtEzXDY49J5rEd5jxYoVrmHDhorlZHC1FoE8JMD/L7GAGe7+yy+/xHK4ww47uOuuu65E3OHYl9oQAREQAREQgYgEqDO+8cYbvmO9atWqEj8jctRpIiACIpArApEF0KOPPtoNHDjQXXvttaUmJ8nVzShdERCB4iWAwNm+fXu/GAWETobFVq9e3e9iFmgmQjFj6LyJoTbh0vjx471XO8fQs48QGlzq1q3rNtwwctFpSWstAiKQAoHwcHcutemmm7rzzz/f9ejRQ5OipcBWp4qACIiACJQmQJ3x7rvv9gLonDlz3B133FH6IO0RAREQARHIawIpteJ79+7tEELxulq8eLGfEGno0KEO76uzzjrLNW3atEI3z7B6mQiIgAiki8DGG2/smjRp4meEjndNvEERTVjMli1bZps+zujHH3/sWMwQP/EwQxRt2bKlO+SQQ+wrrUVABJ8XmikAAEAASURBVLJA4JVXXnH3339/iZQIc9GnTx9Xq1atEvv1QQREQAREQARSJYD4ieBpceZ5D3Xr1q1Ep3uqaeh8ERABERCBzBNISQAle40aNfKLZRXvKQTQLl26uCOOOMJ2ay0CIiACBUEAIYV4TpRj8+bN82E+ghn/448//MQqDK//8ccfJYAG4WhbBLJAoEOHDu6JJ55wP/30k6tfv767/vrrHftkIiACIiACIpBuAmHxk+vfdNNNEj/TDVrXEwEREIEsEEhZAA3nsXXr1l4wYPZlmQiIgAgUGgE6b1gwxM758+d7MfTLL7/0a4RRJlbCdt11V1ezZk1f5jGU3obRE5swnn3wwQdesKlRo0a8r7VPBESgHALE8a1Tp44Pv8NkixruXg4wfS0CIiACIhCZQDzxc8CAAe64446LfE2dKAIiIAIikDsCaRdAeSnIREAERKAyEGC4+8477+yXzp07x26JWacRQhEyGWbPgjBjhgBqYihrFiZW6tu3rz+EOKQNGjTww+htjSdbMD6pXUtrERAB5+Pubrvtto4J0DCGHspEQAREQAREIFMEJH5miqyuKwIiIAK5I5B2ATR3t6KURUAERCA7BBBiyopZvMEGGziWYGxRhsybMWP1559/7hfbx5rJmhBCWQ4++GAvsAa/17YIFBuB9dZbz4ekICwFMXtlIiACIiACIpBpAvHEz5tvvlmdb5kGr+uLgAiIQIYJRG5NvPPOO65///7uxhtvTDmLeHQgFqTjWilnRhcQAREQgQwQqFq1quvevbtr06aN23LLLeOm8O2337oPP/zQPffcc+4///lP3GO0UwSKhcAmm2ziQ0xss802Ej+L5UfXfYqACIhAjglI/MzxD6DkRUAERCCDBCJ7gL799tvuhhtu8MPSbFhnOJ+DBw92o0ePdttvv70bNmxY+OvYZ4aL8rJRgz+GRBsiIAKVjACz0ffr1y92V0uXLo3FFiW+6Jw5c9zChQsd5eFWW23ldtxxRz/cd6ONNvJD6G1IPWVl2KZPnx6bEIZh+fKUCxPS50IgMHPmTNeiRQv//FapUsWHlcADVCYCIiACIiAC2SJAR7TN9s47CM/PY489NlvJKx0REAEREIEMEogsgCaTJ4Z4jh071u2www7JHK5jREAERKBoCNSuXduxHHDAAbF7ZiKlr7/+2n333XdeBCK2aNhbNF580RdeeMFNnjzZX4dzKHNZ6v//cPp69er5jiiJSTHU2sgjAkwqdt9997kpU6a4gQMHuiOOOMJ3ruZRFpUVERABERCBIiHQvn17d/HFF7sHHnhA4meR/Oa6TREQgeIhkFEBtHgw6k5FQAREIHUCiJd4imLLly+Pe8F48UWXLFkSOxYRde7cuX6J7fxzg+HECKEHHXSQO+aYY4JfaVsEckKAUR+vv/66e/LJJx1xcbG7777bHXjggRJAc/KLKFEREAEREAFCFl100UU+FnujRo0ERAREQAREoBIRkABaiX5M3YoIiEBxEjjnnHP8cHoTPlevXl0KxLp167woimcDQ+TjDaUvdZJ2iECGCKxdu9Zdc801bsaMGbEUCP1w4YUX+qHvsZ3aEAEREAEREIEsEGCUDJNc2sgbiZ9ZgK4kREAERCDLBCSAZhm4khMBERCBdBM4/vjjS1zy+++/9zFF582b50VP1sxCjzC66667urp167o//vgjFluU+KIWYzQYi3nVqlWOWM4cj/coS506ddzmm29eIj19EIGKEqCBGQzJQCgIYuQSM1wmAiIgAiIgAtkkEBY/s5m20hIBERABEcgeAQmg2WOtlERABEQgKwTwYMDTkyVoCKObbrqp37Xhhhv6YcabbbZZ7BDET4sxiiDKpDTvvfde7Hvb2G677bwoijBq4ij7mLhGJgLJEKCxedVVV7krr7zSXX311e7www9P5jQdIwIiIAIiIAJpJSDxM604dTEREAERyGsCEkDz+udR5kRABEQgfQQQRssyGgFBYZTJaeIZnqEs06ZNK/H1sGHD3NZbb11inz6IQCICeBOPHDnSTwaW6BjtFwEREAEREIFMEqDz1oa9ZzIdXVsEREAERCD3BCSA5v43UA5EQAREIC8JMLS+bdu2fvg8s9OzMJR+0aJFfsh8MNPEb2T4MrFFmcwJD9LgcPrgsWx/++233htVgmmYTHF9ZlIvmQiIgAiIgAjkggAdw9RfZCIgAiIgAsVBQAJocfzOuksREAERqDABYn22aNHCL8GTGSa/ePHimCCKMMo+htPjRVqjRg0vftpweuKNMjs9oijb7L/nnnvc1KlTvcconoDBhWH1tWrVchtttFEwWW2LgAiIgAiIgAiIQEoEmHxvl1128WF7JH6mhFIni4AIiEDBEZAAWnA/mTIsAiIgArklgNde/fr1/dKpUyefmW+++abEzPLB4fTh3CKArlixwu/+8ccf3axZs/wSPI6Z6hFSEUP3339/Z+kEj9G2CIiACIiACIiACCRL4NFHH3WjRo1yl112mTvvvPOSPU3HiYAIiIAIVBIC61eS+9BtiIAIiIAIFAgBBFRmo2/atGnCGeUZSr9s2TI3ZcqUmFhaILenbIqACIiACIiACOQZAeKUI35igwYNctOnT8+zHCo7IiACIiACmSaQFg/Q5cuXx83nzz//7Pfj7ZPomLgnaqcIiIAIiEClJnDXXXfF7g/v0fnz57sFCxb4YfVsM6x+6dKlfih9q1atXL169fwweobQ2xIcUm8XQzS95ZZbvOdo7dq1Y2u2gzPe2/Fai4AIiIAIiIAIVG4CTz31lJ90z+6yV69ermXLlvZRaxEQAREQgSIhkLIASkOUWG1l2ZIlS8o9pqzz9Z0IiIAIiEDlJcDkSSzt27cvcZPr1q3zomjNmjV9bNFNNtnEsYQNb1ETQ4ntNWfOHL+Ej9tmm238u4jr8d4izTZt2mj21zAofRYBERABERCBSkLgb3/7mxsxYkTsbi644AJ3/vnnxz5rQwREQAREoHgIpCyAFg8q3akIiIAIiEA2CSB2Nm7cuNwkiRdq4uh3332X8Pg1a9Y4FmKOmj399NO2qbUIiIAIiIAIiEAlIvDyyy+7xx57LHZHZ599trv00ktjn7UhAiIgAiJQXAQiC6DEbuvatWtaaXFNmQiIgAiIgAhEJXD66ae7I4880g+pt2H1C/4cWr9w4UI/c/1vv/0Wu3SVKlX8REt4hhKqhREN5knK57CNHj3ah3PBg5Qh9ayrVavmiGkqEwEREAEREAERyB8CY8aMcUOHDo1liPpB7969Y5+1IQIiIAIiUHwEIgugxx9/vGORiYAIiIAIiEA+Eahatapjadu2bYls/ec//3ErV650ixYt8svatWu9eLnFFlv4IfbBgxlWH441OmnSJPfJJ58ED/PnM5QeMdSG1jN7fYMGDbxIWuJgfRABERABERABEcg4AcTPhx56KJZO9+7dXZ8+fWKftSECIiACIlCcBCILoMWJS3ctAiIgAiJQqATWW289V716db8gjjJR348//hj3dhhWv/HGG/vFDlixYoVtxtZ4ijLxEkvQDj30UHf55ZcHd2lbBERABERABEQgCwToiCQ0DrHEu3Xr5vr27ZuFVJWECIiACIhAvhOQAJrvv5DyJwIiIAIikBcEhgwZ4hhObx6ktkYYxbs0aDvvvLP3QjUvUlvHG1r/66+/Oq6NBymNNlsYoi8TAREQAREQARGoGIHddtvN3XHHHe7tt992N910U6lRHhW7mo4WAREQARGoLAQkgFaWX1L3IQIiIAIikFECTZo0cSxh+/33393SpUt9jFFE0SVLlvgZ7bfccsvwoS44tN7iji5fvtyNHTu21LF4r+CxiiDKMHvijW677bZu3333dVtvvXWp47VDBERABERABETgvwRatmzp2rVr5xjRIRMBERABERABCEgA1XMgAiIgAiIgAikQYKg8MT9ZyrN4Q+sZih/PGLq3ePFivwS/b9asmatVq1Zwl7ZFQAREQAREQAREQAREQAREQATKICABtAw4+koEREAEREAEMk1g9913d8OGDfNCJ96jiJ54lLKsWrWqVPIMlZeJgAiIgAiIgAiIgAiIgAiIgAgkT0ACaPKsdKQIiIAIiIAIpJ0Aw9n33HNPv4QvjheoiaHz58/3ky1tvvnm4cP0WQREQAREQAREQAREQAREQAREoAwCEkDLgKOvREAEREAERCCXBIgD2rBhQ78wc/2aNWtymR2lLQIiIAIiIAIiIAIiIAIiIAIFSUBRoQvyZ1OmRUAEREAEREAEREAEREAEREAEREAEREAEREAEkiEgATQZSjpGBERABERABERABERABERABERABERABERABESgIAlIAC3In02ZFgEREAEREAEREAEREAEREAEREAEREAEREAERSIaABNBkKOkYERABERABERABERABERABERABERABERABERCBgiQgAbQgfzZlWgREQAREQAREQAREQAREQAREQAREQAREQAREIBkCmgU+GUoFeswPP/zgvvnmm0i5//e//x07b/Xq1W699daLfc7Xjf/85z8+a9z3jz/+mK/ZjOXL8suOP/74I/JvFbtgljbs2Yj6bGUpm7Fkgpx5LtauXRv7Lt83fvrpJ/fzzz/nezZ9/uy5gHehPRvkt5DKOIDzbPzyyy+Rno1Uy0f7reHGLPVRzK6h5yUKveTOCZZ9qTwvyaWWvqN4Nni2f/vtt/RdNINXsmeZJL799tuCKktWrVpVUPmF8a+//urWrVvHZt6bPRuF8k60/AL2u+++i/xs/P77726jjTaK/Pv861//clwjKrdg2afnJfLPUO6Jwefl+++/j/y8lJtQGg+wZ6PQ2rYg+Oc//xn5fyKNCJO6lD0bUf+Hk0okjQdZfrlkoekItGup4xWC2f8fvKM+G/b+D/5mFb13CaAVJVZAx2+88cZus802i5RjHi5EOYwG7gYbbBDpOtk8iX8EKjrc94Yb5v+jTSFgAsb6668f+bfKJmPSolLKsxH12cpFfqk0YFTIU6mUZzPvCJ+FlF+eZXuxFcqzwXPB80x+C0EA5f/OXvw8G5R1USzqeZaWsYJbVAFUz4vRzNw6Xc9L5nIY/8o8G9Q5oj5b8a+aub3UO6wiXmhlyaabbuqof+S7IYiZIM6zQb4LwSzPhZRfWGOp1P15plJ5rnjHpFIv1vOSnf8Onu90PC/Zye1/U1FbMTu0qavybBRKe4C2gLUVC01HKKS2ojn1UMZHfTbs3WJtkShPdP6rRFHuSud4AjxYW2+9dSQa9H6YALr55psXREOEgpaGCPcd9Z8qEqyIJ4UF0Ki/VcTkI5+G9xisCyW/9IrZS43ngue5EIyXBA2QLbfcshCy6//3eKZ5IRXKswFjKj3kN5UXabZ+oKAnC8/GVlttFSnpVBvjxgpuUUUq7kXPS6SfL+mT0vW8JJ1gmg6kUU0DpFDKEcoQE0D5n7TKeZpwZOQyNE5ZeL8UQocxjE1MLKRnw+rRhfIsU7djwXg2onYY80yl8n/AuVwjKjc9LxkpNkpd1MREvthiiy0id8qWunAGd/A/ybuR/Eatv2Qwe6UuDWNzlqHzJ+r/RKkLZ3gHOgLvmELJL16UwbZiIekI1Ol5ngvBzPkhlbYizxVmbZEo953/3b5R7krniIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMCfBOQBqscgLoGaNWvGPEDjHqCdIvAnAbwD6E21njJ6Zcx7wADhRcA+vL3w4OAcejTpeaX3pnbt2v77ZcuW+V5ZOw8vD7wA6PE0TzHSwQOV3n2Ma+2+++6+d3TFihV+f7Vq1dyaNWsc8YjIG+cGrUWLFr5XkjzVq1fPb5Mf8tKyZUu3ePFiN23aNH8KeWzQoIHPN9fhO3qOuaftt98+dh28Si1mDN/z3dKlS3363EPHjh39PrxRP/30U3890uzevbvjvhctWuTPJ33yR/pz5871HhBt2rTxa+6pcePG3uuPnr7p06f7+4UThjfjX/7yF3fffff5z/y54oor3MEHH+wWLlzov+d+uW840ivbsGFDnxa/C1wPOOAAH0eGnlDSI7/bbLONTxPPplmzZvn7qlKlimvSpIn/7bhv7qVVq1ax32ncuHGO+Eqcy+/BsdjKlSv9sTAhH8Sf4/etUaOG45rYnnvu6dek98Ybb7iLL77YTZw40e87/fTT3dFHH+3vm/Ph/tprr/mez2233dafSx4/++wzN2XKFJ/GDjvs4A477DC30047+bzwO5M3YvU9/PDD/tlp2rSpO+ecc/x9worYZzw75OGLL77wzxllYrt27Xw++I7fjJ7Mgw46yKdDfp577jn/fMCX/wV+JxjAh+dixx139HnmulGsTp06sRi2PPs2lCTKtXJ9Ds9i+H8z13lS+iKQiABlFkZ5hZcI3mn8H7OmXDPje45l4f/ePErYj1FOsM13GOURZTifKVdsv//yzz/169f3//P8r9j7zI4LekHwjqHcpkyaPXu2P51rn3XWWW7+/PmxPFNm8m6cOXOmzyP3sMsuu7h58+b5co53F+883nVz5szx90cZxjuiatWq/rrvvPOOZc/tscce/lh28D3pU7ZSBlKuz5gxwx9LXnjfcR+Ut7x/4EYaHE9ZyTuEcnz58uX+3cCxlN+UdUOHDvVlLhfjWldffXXMe4uymYVynXcK5ffXX3/tr0meOB8GvB+pO0ydOjX2rmrdurXnSjnObwlTrkO65OW9995zY8aM8fubNWvm75d3I+8XuJBnfmPS5V1+4IEH+vOoI7z44ov+/Yp3DudyPHnZZ599/PuO9PitOA/r1KmTf6b4HXmPsYYB91a9enV/LM8PxrsAxtwX70feg9RXeEc99NBD/n3Ou4z3DvdEfkjfPCN5Bnn/83sHrVatWv4ZZR/bCxYsCH5dMNuNGjWKcS2YTFfijPK82bMbvk3+DyjTzKxOS1nId/z/2DEcR9kajGNO2UGZYCNbSIvjbYQP57CP/1OOszKZ9PgfIj328f/B9/yP0p5gzbWpk/J/RpnINSlD+X8iDco7rrHddtv5MoB88X/Id1yPcoH/Of4HKfOaN2/u6/iUi1yTNKgjt23b1peDHE8eKJf5/6UOzmfKa7PLL7/clwuU09wb37Hm/ikXSI88wc/KWT5Tlrz88su+/Cc/lCuw5H+cc+FAeWxG24yyjnMpO6lHw4MyhYU6Ne0V7vP999/37wiuUf/PdxbvGMp1eHDP1PfID+eTD+6L+yOvpEEZaGUZ39vvAR/KcP6fjzrqKJ9n+PNbUHZyHG0QjDKScpZyi3cLZRu/O/fJmt+IY3l/kT/aHPvuu6/PP+c/+OCD/ju2e/bs6Tp06BB7Vrg2vwNlMvnk3jDq9Px+PA8Y9/Lhhx/6+4H9Xnvt5d+DPDe81/ge5lyP+4Ijvx/5sXYHTOwdCvdTTjnFs+X6PFv2XPH/BAfyRPq8y3juwjZhwoQYoyOPPDLuMZzDb0I+ef/xO/Fbht8P4WtH+cyzgMGT5zBXVppUrnKidPOKAA8lhZBMBMoiwEsXC1YowsdT4AfNzrGCz15ewWPYtuOC+8PHcsykSZNKNBrtxRQ8L7iNAGmGyBh8zhEeaegFK2o0pDAKa2uc8nLlJWiNXLuerXmZBW3s2LG+okN+g9emoUJ67CcfiG2Ih1zf7p+XI2nzUqRBRkWFlxMCHMeQB77nurz87DzSf+SRR/xxiKW82BBQqbDxUqVyc8QRR/iXvr30eInSEOZFzfWpjNGIpQJR/89KDQ26JUuW+HzwYqfR+OWXX3ouwWeAdKnQcC6irgmgH3/8sc8fL3Hy8cknn/iXLMJr+/btPTIalhj3hA0fPty/mNm+++67/f3zTPH8cA933XWX52GVkEcffdRXxrgHq3BxL507d3b777+/T++jjz7yDfNhw4b5Y6gIISBQmUN0/fzzz/3vQgPxpZde8pUOGu0mgMKL40gjGMSbChQVPn4n1lRUqJByL1RuunTp4hvWCA5RjGva82PPYpTr5MM5weclH/KjPIhARQhQzlJ2hy1Y/ga/C+4PbnMMZXsiozxOxsaPH1/iXWbnUH4G88n7wsoQjqGMp3y0fZRVlM/kKVzGWJkcfGfS8LXPNMbMKKMpH4P2zDPP+GMpq3mP8T63Mo1rI+TR8Odc0ue6JjQEy1muOXjw4FhDjuvV//P9xDuHxhsNQhYavaTDPfOZxjTGu8eMsp775B3J97xXuAYNW94vvI/tPuhYQxAl35TnXB/usOOdQGOWY3jv8Y59/fXX/X7ujUYx1+cdzTudRiANec43btRdSHfBn4IE7xc4wAChg/2kzbPD9fjM+4U6C6KF/cZcq0+fPl5A5Rrkk/ul8Y+oSyOX+6NxS2ci78WgGXf2hZkHj8v3bfIe/j/L9zxX5vyV9VuEvwt/5pkty8LtgrKODX9HuWBGWRQ2/ldeeOGFWPnI9+Qn3M6gLVGecS3qz/wfk5aVm/w/0ylD2UO9iM+UWYnqSLQbMEQ0WCHWci3OofykPKOssfLT/t+5rnW2cD5tGPYF82HbfI9AicGXNHDqoPyivCNd6rk4aFCuUE8mv6TLZ8ou2kGUS5Rf1J8pWyirSZMylU4ezoEnvwPb1i4kXcpTjPcTZSbvQso9hEPKWZhzr5zDmncFdWvaORzLmvIfIZOylg4m2nM4iVA+UCZSP+ceMBwiSAvjHvkedtghhxzi743yddSoUT4/3AdtINoV1sahPTRkyBCfPuUzIijvA7jTSfXVV1/534n2Dgvp0bkHa9KCFxxgDkvaenSY2TsCfrRDeF9Rrr/55pv+PcQ7Gzb8JmGjTcRvh3Et7iuekQb5gzVcyD9tRO4znRb+/07ntStyLQ2BrwgtHSsCIiACIiACIiACIiACIiACIiACIiACIiACIlBQBCSAFtTPpcyKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhUhIAE0IrQ0rEiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIFRUACaEH9XMqsCIiACIiACIiACPxfe2cCN9d0/vGTELJJhIh9iX2p1BJiKyGEUrTWlpZoEfsfVVU0JA2V2CpaS4XYd7VVtJFKaNSaSslGJW2ICEHEEhGR+d/f0TPuzNz7ztzz3nln7jvf8/nMe+896/N8z7n3zvvMc86BAAQgAAEIQAACEIAABCCQhAAG0CS0yAsBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhkigAG0Ex1F8JCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACSQhgAE1Ci7wQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBApghgAM1UdyEsBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkIQABtAktMgLAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIZIoABtBMdRfCQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAkkIYABNQou8EIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQKYIYADNVHchLAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIJCEAAbQJLTICwEIQAACEIAABCAAAQhAAAIQgAAEIAABCGSKAAbQTHUXwkIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJJCGAATUKLvBCAAAQgAAEIQAACEIAABCAAAQhAAAIQgECmCGAAzVR3ISwEIAABCEAAAhCAAAQgAAEIQAACEIAABCCQhAAG0CS0yAsBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhkigAG0Ex1F8JCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACSQhgAE1Ci7wQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBApghgAM1UdyEsBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkIQABtAktMgLAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIZIrAspmSFmETEXj22WfNp59+mqiMy9ylSxeTy+XcJUcI1C2BNm3aeI/V4rLLL7+8adeunVm6dGleX+VxofieKC7v8hUflW+ZZZax9Ybrbt++vVl22WVtvOpWHl2vsMIK5quvvrLVLLfcckbldZRsbdu2tfk7dOhgj0rTR/UqTR8XpM+8efNsXcrz8ccfm8WLF+d5Pffcczbuiy++sHleeOEF895775kFCxaYDz/80CxcuNC8//77ZsmSJfZc16pHdbz11ltG5efOnWvr0zPDBdWhZ4/anj59urn33ntt0uTJk62c0lF1vPnmm1Zn6a1zBVeP2lE56el0UjnVITkk0wcffGDlEavPPvvMTJgwwcqr/J07d7ZyiYF0mDhxopVJdcycOdPMnj3bdOzY0eZR3Lhx48zrr79uXn31VTNnzhzz5Zdf2o9jozinh9pXPnFy8kp2MVu0aJHVUUfJ6PpR8omX2pg2bZqyJw4aF278OD6JKwkKiEUa4f7777dj0qeuMDef8pSBAAS+IaDnQfH7Sal6b+jjgvK5Z4iL0/PSxSldz0M9N4vrU5pCOD6uXVd3+Kh6VVZHlVMbek6rbXctWfTM17tOeZVHccXPC8XrvaGg8noW65mtvE52naseJ6PLr/ZdcDKprOrRM1vl9P7Se0zprm1XTjz1LFY+1an6JbPO9bxXWR31fnHpKqNzffQ+km6K+/zzz209kkfvpU8++cS+1/T+UB599N7W+8q9T9Te/Pnzjd5NiuvUqVO+j1X/E088Yd9h77zzjpXFvfMlk8ro/aV8eh+p/XCQrmpTQfq6d144TyXn+l7Qs2fPSrLG5lEdvu2LicYBAQLNJaD73D0f06jLjUt3n+l+dv8L6B7VtT46jwp61rigfBrrqss973Su+9sF96xUXvcsc2mKC8vhzl16+OjqEQt91IaeQ2pXHz0vdHTfz5WuMnr+vPvuu1YfPdfUpp7XjqnKSSc9Dx2bcLs6V12qR89O1aHnlvI7vXXUs17PXj0r9czU/yiK00d5VVb/Z7jns76TP/nkk2bGjBm2Ocml57qCnsNPPfWU1cVdSwb9H6D80ltB/wdIrldeecVe6xmuNPWdZNT/JPq/QPpPmTLF/k+kdqSz4vXRe0bMXH+LocaD2lPesWPH5tvT+3LWrFn2/yq1Kx0d+4cfftiOBStI6I/+D1P9CsrjdAxlsad6Xyjv22+/bWXS+0uMJEOaITwGfZ/v0r25oU0waLByNZdinZXXDbXjjjvWmVSIAwEIQAAC9UTgtdde8xLnvvvuM+eff75XWQpBAAIQgEDrJ9CvXz9zzTXXeCl64oknWuOEV2EKQQACEIBAqydw0UUXmUMOOcRLTwygXtjqv5B+zW5OGDp0qJF3j8LIkSNN7969m1MdZSMIqI+22247m7LJJpuYe+65JyIXUc0lMGrUKHPVVVfZagYPHmwOPPDA5lZJ+QgCe+21l/31UL9Q6ldPQvoExowZY84++2xb8cCBA43+SWxO0C/jPkG/m8rzqDnBjRd5LzzzzDPNqYqyMQTSHi8xzTR89IABA8ykSZMsB3mNdO3ateGZpA1g6tSp5ogjjrDV7rfffkb/+BDSJ3Duueea0aNH24rvuusus9lmm3k3Is8keTH5BHlDOQ8xn/KMFx9qycucd9555rHHHrMF77zzTrP55psnr4QSTRKQt+Ruu+1m82y99dZG/9MQ0idw7bXXmuuvv95WPHz4cNO/f//0G6FGs/POO1vP0h49ehh9R21OkCetr4fqN/NAmiMBZeuOgO8/tk6R8D+4+hLT3PpcvRy/IRBmLGMCjL9hk/aZM9boQQnntOl+XZ8Y6yPDPoyrw1jj141lPT9qxTmN+8iNFx1rpUd1eql+atW7ux7GS/0QqY4kMtY4zvpCznhOnzNjOX2mUTWGv5fW8ru/DKe+xlPpxXiJ6t304+plvKSvWf3UqPvAvV/0ruH9Up2+YSxXh2txrRrL7lPLsfzNYnHFEnINAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCDjBDCAZrwDER8CEIAABCAAAQhAAAIQgAAEIAABCEAAAhCIJ4ABNJ4NKRCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEDGCWAAzXgHIj4EIAABCEAAAhCAAAQgAAEIQAACEIAABCAQTwADaDwbUiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGME2gT7HqVy7gOiF8FAlOmTDFvvfWWrXn77bc3K620UhVaaewqly5dasaMGWMhdOnSxey0006NDaRK2s+cOdO8/vrrtvYtt9zSrLnmmlVqqbGrHT9+vFm0aJHRLsh77rlnY8OokvZz5841kyZNsrVvuOGGRp+sBsZL9XuuNY2X6tPyb+H555838+fPtxX069ePXXr9UcaWXLBggXn22Wdt+hprrGF69eoVm5cEfwKvvPKKmTNnjq1A30n13TSLgfHSMr0WHi877rij6dq1a8s03ECtLF682Dz55JNW427dupk+ffo0kPYtp+obb7xh9FHYaqutzGqrrdZyjTdQS2PHjrW7wLdv39707du3ZppjAK0ZehqGAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEqk2AKfDVJkz9EIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQM0IYACtGXoahgAEIAABCEAAAhCAAAQgAAEIQAACEIAABKpNAANotQlTPwQgAAEIQAACEIAABCAAAQhAAAIQgAAEIFAzAhhAa4aehiEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIFqE1i22g1Qf8sSmD59urnvvvvMrFmzTKdOnYx2vd5jjz3M+uuv7yWIT30+ZbyEq2GhNHX84IMPzL333mtmzJhh3n33XdOjRw/Ts2dPc/jhh5tVVlmlRMuFCxeaG264oSQ+HLHffvtleodo6fLFF1+Y+++/37z00kt2h92NNtrI7sy3zz77mGWWWSasbtnzcePGGe1WGRe6d+9ujjzyyJLkNPu5pPI6iUhDR43HTz75pKxGbdu2Naeffno+X6OM5bzCwYl0Puuss+wOk4MGDQonVXzu02c+ZaIESqse1e1zj/uUidKjnuPS1lHPv7///e9m9uzZZunSpWadddYx2rF3r732isTg+7yMrKyOI9May77PsbT7uR5Rp6Hj5MmTzZgxYypSTzuX77DDDvm8vn2TryCDJ4899pi59dZbzYUXXmg222wzLw187g2fMsXCpTFewnX6yJS2DGF56uXch0tTsvOOiaaTFmff51gjjOU0dGzOO6ZRvi+FR3hz3zE+feZTJixz8Tm7wBcTyfC1jEVXXXWV1aBz585m8eLF9tOhQwdzySWXmG222SaRdj71+ZRJJFQdZE5Tx/Hjx5uLL77YfP7559aot/LKKxsZRL/66iujfvvlL39p+vXrV6C1DHknn3xyQVzxxdChQ81uu+1WHJ2Z648++sicdNJJ5q233rIyr7TSSubDDz+057vuuqu54IILzHLLLVexPjK6TZw4MTa/fiC45ZZbCtLT7OeCiuvoIi0dDzroIDNv3ryymskA+tRTT+XzNcJYzisbnORyOfOrX/3KPPPMM2brrbc2I0aMCCdXdO7TZz5looRJqx7V7XOP+5SJ0qOe49LUUV8Yf/GLX5iXX37ZqtylSxd7/Pjjj+1xq622MsOHD7fvmjATn+dluHwWztMcyz7PsTT7uV55p6Xjn//8ZzNs2LCK1Dz22GPN0Ucfnc/r0zf5whk8efXVV81pp51mlixZYq6++mr7o3FSNXzuDZ8yxXKlNV5cvT4ypS2Dk6Wejj5c4uTnHRNHxlgHjrT+J/d5jjXCWE5Lx+a8Yxrh+1J4lDf3HePTZz5lwjJHnWMAjaKSwTgNSBnF2rVrZ41D3/nOd+wXoIceesj+k634O++803odVaKeT30+ZSqRpZ7ypKnj22+/bY455hhr/NRRHojLL7+89YrSr/f6tG/f3tx0001m7bXXzmN44IEHzO9+9zuz7bbbWu/efELopHfv3maNNdYIxWTr9Oc//7l54YUXTJ8+fcyvf/1r07VrVyNe5513nvWUPfDAA60XXaVaySNW//TrHwMxLg4rrLCC2X333fPRafZzvtI6O0lTR3nnLFq0KFJDGfNHjhxp+e+///7m7LPPzudrhLHslNWPHPoyrF9OFXwMoD595lPGyRw+plWPq9PnHvcp49rLyjFNHa+44grz4IMPmvXWW8+cf/75ZpNNNrEY5JUyZMgQ+wNT8T2pDEmfl1lh6+RMeyz7PMfS7GenV70d09LxzTffNJMmTYpVT8aBv/71r6Zjx47mj3/8o1l33XXzeX36Jl84Yyf6oUM/Ds+fP99K7mMA9bk3fMpEoU1rvKhuX5nSlCFKx1rH+XKJk5t3TDSZtDn7PMda+1gW+bR0bM47prV/XwqP8DTeMT595lMmLHfkeeCRQmgFBILBkdtll11ygbGsRJvAWGbTrr322pK0uAif+nzKxLVfr/Fp6qj+UJ8F05Qi1Q3+YbXpf/jDHwrSf/vb39r4hx9+uCC+tVxMmTLF6hdMz8wFRqMCtQLv2Fzg2ZoLlnXIBQbNgrS4i2BZAVtfYDSNy1ISn2Y/l1ReJxEtpeONN95o+Q8cODAXeKUXaN/ax7JT9sUXX8wdcsghlkPgwWyPp556qkuu+OjTZz5logRKqx7V7XOP+5SJ0qOe49LU8bPPPrPPSo23mTNnlqitOL1/gh9Lc8rrgs/z0pXNyjHNsSydkz7H0uznemXeUjq+//77uQMOOMCO5WCZhxIcSfumpIIMROj+vfTSSy0D3dPuHRP8s5pYep97w6dMsWBpjxcfmdKWoVjHerj24RInN++YODK5XJqc1UrS51gjjOWW0rGpd0wjfF/S+EvrHePTZz5lJHO5wCZIkWbhbEVqbRB5yynsvffeJcK7OLl4a1pMueBTn0+ZcnLUW3raOrppifLWjQryflR44403CpLdtfPmKUhsBRdaFkBBU/jlARsOmgq//fbb26UdHn/88XBS7Pm///1vm1Ypr7T7OVawGia0lI7y2rn55put1608U+SJHg6tfSxL1yeeeMKcccYZZu7cudaj+cwzzwwjqPjcp898ykQJlFY9rm6fe9ynjGsvK8c0dZQHiryvNXtAa0oXB8VpjengS6IJjKH55KTPy3zBjJykPZaldtLnWJr9XK/YW0rH3/zmN3Z5nB/84AcmMP6V4EjaNyUVZCBC0/6DH8StB6zWlY663ytRw+fe8CkTJUua48VXpjRliNKx1nG+XOLk5h0TTSZtzmol6XOstY9lMWkpHZt6x7T270virJDWO8anz3zKfC11038xgDbNJxOp06ZNs//E6B+dqGnPm266qdEU3wULFhi5eZcLPvX5lCknR72lp62j1v+75557ChbsD+vs1rxcccUV89EyYOuf1WWXXTa/sZWmdmsdntYSgl97rCrOAFyslwygCpr2VkkofkGJoWMbVT7tfo5qo9ZxLaGjOF9++eX22aQlHlZfffUCtRthLEthjTU9l8855xwTeOmYbt26FXCo9MKnz3zKRMmTVj2ubp973KeMay8rxzR11HPykUcesWMuSn/df/pOoBB+xyR9XkbVXc9xaY9ln+dYmv1cr6xbQkf9uKS1vfXD6PHHH1+CwqdvSirJQITWR5Ojg35sjNvYrBI1fO4NnzJRsqQ5XnxlSlOGKB1rHefLJU5u3jHRZNLm7PMca+1jWeRbQsdy75jW/n3JjfC03jE+feZTxsnd1JFd4Juik5E0rY2oEP4nplh0pWmXZm0qU25HeJ/6fMoUy1jv12nrqLUoowzW4qAXnvNw3GKLLfJoZs2aZb788ku7i6/WdNX6bto0SZvLaGffn/zkJ6Z///75/Fk8KcfZjXO3QVI5Hd0LSkzliSfPW3lG6UeB7bbbzq4Lqs2nXCjXvvIluZ9cvfV0bAkdtWbRf//7X+uBdvjhh5eo3whjWUprE7ODDz7Y/mhRAiFBhE+f+ZSJEimtelzd5eqLusd9yrj2snJMU8c2bdo0aWzXur3aKFHrK6+55pp5REmfl/mCGTkpx1hqJHm++zzHyskQNf4zgjcvZrV11JrKwfJAtj1tmKiNP4uDT98U15GF61GjRplVV1212aKW6zM1UHxv+JSJErRcPUnuiXJ1RemhuHLlksgQpWOt48rpJ/mK+7cpmXnHRNNJm7PPc6ycDFkfyyJfbR0rece09u9LboS31DsmalxWq5/xAHW9m+FjsDaDld4NnChV3O6vLm9UHhfn8iSpz6eMay8rx5bU8frrrzezZ8+2/5hqgWUX3MNWnrzaWEZfQLQZkrzKZGySq/4ll1zismfyWI5zkrEsAG7qyG233WaNn/KI1nR4bdrz5JNPmqOOOiqfR/nLta88SWVQmXoK1dZRBmZ5Nysceuihkca/RhjL0r979+6R+istSfDpM58yUTKlVY+ru1x9UfeXTxnXXlaOLaXjnDlzTLAGtcUizzm9R1xI+rx05bJyLMdYekSNvzj9fJ5j5WRI0n6cXLWOr7aO8szRj7/68VI/MkUFn76Jqqfe49IwfkrHcn2mPMVj06eM6ikO5eopbre4fPi6XF3KG1VfuXJRZcLt1vt5Of3iuPjoxTvma2NyHLskY8nnOVaur5O0H6dDreOrrWMl75jW/n3J9XFLvWOixmW1+hkPUNe7GT5qvREFebTFBffreNxOzeFyPvX5lAm3mYXzltLx7rvvNvrIq/Pcc88tWAfTPWzV1xdffLHZaqutLDqt4yZvUO0Or12md9hhB9O3b98sYC2QcenSpfndxOPGsxvLlUz714NTX8QUNEUsWJjcdOjQwV4rfvDgwWbq1KmWpXaP1dICLdXPVoga/am2js8//7yZN2+eXZPMrUFcrGprH8vF+jb32qfPfMpEyZlWParb5x73KROlRz3HtZSOMhppHVpNadIUxmADmTwWn+dlvnBGTtIcy1I56XOspfq5lt3REjpqeQeFYHPD2B+YkvZNLZnVQ9s+94ZPmWJd0x4vPjKlLUOxjvVw7cPFR27eMen+T570OdYIY7kldCz3jmmE70s+939cGZ8+8ykT135xPAbQYiIZvO7UqZOVWtPZ4oIzFmnadbngU59PmXJy1Ft6S+goI5w8FWX8DHaBN7169SrAcPTRR1tvB01bDE+flwfPQQcdZL1AZQi9/fbbM2kAld4yUGrqgRuzBQCCCxe/3HLLFSeVXKsuLRUQ7OJnjcVhTyfxGzJkiDnyyCONfmHVRmI77bSTaYl+LhG0hSOqreOjjz5qNdpnn32sETRKvdY+lqN0bk6cT5/5lImSMa16VLfPPe5TJkqPeo5rCR01c+Css84y77zzjtl8883t8y/MxOd5GS6fhfM0x7L0Tfoca4l+rnU/VFtHva9fe+01s8wyyxQY8Iv1Tto3xeUb7drn3vApU8w17fHiI1PaMhTrWA/XPlySys07xqT+P0TS51gjjOVq61jJO6YRvi8lvf+byu/TZz5lmpIhnMYU+DCNjJ5riqWCNsOJC1r/U8G9AOPyKd6nPp8yTclQj2nV1FHremr6uoyfMuzJMBe1mL28IjfbbLMC42eY1Z577mkv//Of/1hPq3BaVs4dZzdmi+V28ZWMZT08tTnY1ltvXTDN09Upt/4tt9zSXrqdkF37ad1Prq16OlZTRxmbn332WauuduaNC40wluN094n36TOfMlGypVWPq9vV5+5lF++OLj58j/uUcfVl5VhNHbVp3AknnGCNn7179zZXXHFFyfcBn+dlVtg6OR3jtJ7vPs8xJ4Mb5042d3Tx4fHv0rJyrKaO7ge23XbbzU6Bj2Pi0zdxdTVCvOuzJPeGT5kolq4eN/aL87j4Su4JV1cSPdSeK+faao4MxWXr4drpl5RLpbLzjvmaVNqcfZ5jTobWOpZFupo6VvKOaYTvS5Xe+5Xm8+kznzKVyIMBtBJKdZ6n3OCQ+O6FV8kOxD71+ZSpc6wl4lVLR72gNDVbm1Jo/QtNY9cXe5/g1umQN7BbN8OnnlqWKcc5yViuRI8ePXrYbJq2o1CufeVJWwbV2ZKhmjqOHj3abjK1zTbbmPXWW89brdYwlr2Vjyjo02c+ZSKaTv2eKCdX1P3lUyZKl3qOq5aOWuv49NNPtxshakmKSy+9tMT4WSmX4udlpeXqJV85xpIzavz5yh/1HCsnQ5rt+8rd3HLV0lHLOOm7koJmvTQnRPVNc+rLetlyfSb9isemT5koTuXqKW43qg4XV64u5Yuqr1y5qDKuzSwcy+kXx6US3XjHfEOpmpy/aeWbs6jnWDkZsj6WpX21dEzzHZP170vfjLJ0znz6zKdMJdJiAK2EUp3ncTeYdsWWJ2FxWLBggfnwww/t1MONNtqoOLnk2qc+nzIlDdd5RDV01Evo1FNPtZvzrLXWWua6667LeyRG4bjvvvtsHm14FBXeffddGy1Dqn41zGJwnJ1HZrEOLl6esOWCpsndcsstRtziwnvvvWeTxF/BtZ/W/WQrrbM/1dRRX4QVvvvd7zapdSOM5SYBJEz06TOfMlFipVWPq9vV5+5lF++OLj58j/uUcfVl5VgNHeXJcMEFF9jvBsccc4xdWkVrHUcFn+dlVD31HOcYp/V893mOORncOC/m5eLD4784T71fV0tHLVWjH3dXX3118+1vf7tJDD5902SFrTzR9VmSe8OnTBRGV48b+8V5XHwl94SrK4keas+Vc201R4bisvVw7fRLyqWc7LxjCgmlzdnnOeZkaK1jWcSrpWOl75hG+L5UOLKbf+XTZz5lKpEUA2gllOo8j9Yy1M7Wn376qdHmI8Vh3Lhx1iNLeTp27FicXHLtU59PmZKG6zwibR21cdE555xjZsyYYXcll/FT07WbCmPHjjV33HGHNepF5ZswYYKN3mKLLaKSMxHndnSVrsVBCyI7A5vbAKo4T/h6/vz5ZuTIkebqq682s2bNCifZc/0wMGXKFHvumKXdzyWN1kFEtXTUIvvuC1e5H1saYSyn2dU+feZTJkrmtOpxdfvc4z5lXHtZOaat43PPPWe9PbX2sd41P/3pT5tE4fO8bLLCOkxMeyz7PMfS7uc6xJzfmT2N93hYv8mTJ9vLcu8XZfLpm3BbjXbuc2/4lInimuY94StTmjJE6VjrOF8uTcnNO6aUTtqcfZ5jrX0si3q1dKz0HdMI35dKR3fzYnz6zKdMJVJiAK2EUgby/OhHP7JSjho1yk5zcyLLu+2uu+6yl4ceeqiLzh+feeYZ88QTTxitGRkOPvX5lAm3mYVzHx214YQY/+1vfytQUb+avvrqq9aNX1MStbFRubD77rvbLDICynAaDhMnTsx7Ov7sZz8LJ2XqXDvYa+q0FqF+/PHHC2SX8VdT1dddd13Tp0+fgrSosSwj6YorrmhkbL755pvNkiVL8mU0zWHYsGF2w6Wdd97Z/ojgEn362ZXNytFHx7ix7HSePn26Za3NKdZZZx0XHXlshLEcqXgFkVFjWcV8+synTJSIPvXEjRefe9ynTJQe9Rznq2PUeNFmcVdeeaW9H4899liz3377lVXd93lZtuI6y5DmWPZ5jvn2c51hbFIcXx2jxnK4oalTp9rLnj17hqMjz336JrKiVhYZ91yWmj73hk+ZYqRpjxcfmXxlKNalnq99uMSNF94x8T2dJmef51gjjGVfHdN6xzTK96X4UR6fEvfM8OkznzLxkn2T0iYwDOS+ueQsqwS++uorc+KJJ5pp06bZDXL0wJSxR78cyWAkA8/FF19sp8GHdTzssMPspgjHHXecOeqoo/JJPvX5lMk3mJETHx3/8pe/mIsuusjuWDp+/Hirqb44aIMYt0C1DEZxYcMNN7RejEpX+2eccYadMq/rbbfd1n7eeOMNI09fBY0D9/K1ERn88/TTT5tBgwZZfTWW5e0hY7E212nXrp1dJ7VXr14FmsWN5ZdeesmceeaZ1hCgNXD79+9v+0JtzJ492+gfKRmg3To6qtSnnwuEycCFj45RYzmsqoz6w4cPtwbq22+/PZxUct4oY7lYcY278847z27MNWLEiOJkex03ln36zKdMlFA+9TQ1XnzucZ8yUbrUc5yPjlHjRT8WaVaBQlPvF6UPHTrU7LLLLjo1Ps9LWzBDf9Icy6rL553s088ZQmxF9dExaiyH9db3Jm20N3jwYLPHHnuEk0rOffumpKKMRQwYMMD+QK6ZL1EzZZp6LvvcGz5lopCmOV58ZfKRIUqXeo3z4RI3XnjHxPdympxVF++YaNY+92ua75hG+L4URb457xifPvMpEyV3OA4DaJhGxs/dr3FaIN6tBap/fPSFceDAgaZ9+/YlGjb1IPCpz6dMiVB1HpFUx6gvD/KUk9G5krDBBhtY70WXV56L+uJx5513Gm125IKmz5922mlGv5a0hvDyyy9bo/3cuXPz6sgzVF8EtMFOcWhqLGua+1VXXWV/IHDlOnToYHbddVdrHI1aGiJpP7t6s3RMqmPUWA7rKy/bG2+80choPWTIkHBS5HmjjOWw8nqR+xpAVU/SPvMtE5bZnSdtu9x4SXqPSw6fMk7+rByT6hj17Dv77LPtD0aV6Kwf6PQsdMHneenKZuWY5lj2fY4l7eessA3LmVTHqLHs6tMSODJ6yiBw66232h8vXVrc0bdv4urLQnxz/jmVfknvDd8yUSzTHC8+ekimpDJE6VHPcUm5xL3Hecc03ctpcVYrvs+x1j6WxSapjmm/Yxrh+5I4h0Nz3zFJ+0xt+5QJy1x8jgG0mEgruJbnp6ZHy7lXRrFOnTo1Syuf+nzKNEvIGhSutY5qf86cOeajjz4y66+/vuncuXMNKFS/SXkwa9F2LYS82mqrlXgxJ5FAG4KpLm0QpXujbdvyq4DUup+T6Oebt9Y6NspY9u2fqHI+feZTJq22o+pxcT73uE8Z115WjrXW0ed5mRW2Ts607gnV5/scq3U/OxbVPNZaR9++qSaTeq/b597wKRPFIc3x4itTmjJE6VjrOF8uacrNOyYZTfWZz/99rX0si2KtdWyEsZxstJbP7dNnPmWiJMEAGkWFOAhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBVECjv/tQq1EQJCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoBEJYABtxF5HZwhAAAIQgAAEIAABCEAAAhCAAAQgAAEINAgBDKAN0tGoCQEIQAACEIAABCAAAQhAAAIQgAAEIACBRiSAAbQRex2dIQABCEAAAhCAAAQgAAEIQAACEIAABCDQIAQwgDZIR6MmBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQakQAG0EbsdXSGAAQgAAEIQAACEIAABCAAAQhAAAIQgECDEMAA2iAdjZoQgAAEIAABCEAAAhCAAAQgAAEIQAACEGhEAhhAG7HX0RkCEIAABCAAAQhAAAIQgAAEIAABCEAAAg1CAANog3Q0akIAAhCAAAQgAAEIQAACEIAABCAAAQhAoBEJYABtxF5HZwhAAAIQgAAEIAABCEAAAhCAAAQgAAEINAgBDKAN0tGoCQEIQAACEIAABCAAAQhAAAIQgAAEIACBRiSAAbQRex2dIQABCEAAAhCoOwKbbLKJadOmTeynY8eOZu211za77767GTZsmFm4cGGsDmeddVa+nsWLF+fzzZo1Kx9/2WWX5eN1cswxx9i0FVZYoSA+rYtbb7013/bLL79cUG2cvAWZuIBASgT+8Y9/pFQT1UAAAhCAAAQgkBUCGECz0lPICQEIQAACEIBAQxP4/PPPzezZs8348ePNOeecY/r27WvefffdSCa5XC4yvpLI5pStpP6oPLVoM0oO4lo3Ad0vP/nJT0y/fv1at6JoBwEIQAACEIBACYFlS2KIgAAEIAABCEAAAhCoGYEOHTqY888/v6D9JUuWWI/Pd955x4wbN8689dZb5sUXXzR9+vQxEyZMMGuttVZLjuuXAAAU+0lEQVRB/nbt2pn27dsXxNXzRdbkrWeWyBZP4MILLzS33367WX755eMzkQIBCEAAAhCAQKskgAG0VXYrSkEAAhCAAAQgkFUCMoCee+65seJ//PHHZsCAAebBBx80mtI+fPhwM2LEiIL8l1xyidEnKyFr8maFK3JCAAIQgAAEIAABCHxNgCnwjAQIQAACEIAABCCQIQJdunQx119/vV1PU2KPHj06Q9IjKgQgAAEIQAACEIAABFqeAB6gLc+cFiEAAQhAAAIQgECzCKyyyipm8803N1OmTDELFiwoqUtT5DVdXmG77bbLG0tLMlYh4rnnnjMvvfSSef/99822225rdt55Z7PSSis12VIl8v773/82L7zwgpkxY4ad3i/99enZs2dZ/bR+6uuvv26mT59uXnvtNVt+o402MvqojrZty/sEPP/882bixIlm7ty5ZosttjA77rijWWeddYzWL9VyBAobbrhhga7//e9/zXvvvWe6du1qtMmVzh955BF73Gmnnew6rsVg1J//+te/7EfnvXr1MltttZVtqzhv1LXkESvVofGxxhpr2PJbbrmlkXdxVHjzzTetXk5O5dF6mVpvVnVJV8lbXF76KI/aWX/99c0uu+xiNthgg6gmCuJ8dHQy6geATTfd1Nan9p999lkzadIks+6665ptttnGfOtb3yrpzzlz5tj1c5VfQYw0lhRWW221itnaAvyBAAQgAAEIQCCbBIIvAAQIQAACEIAABCAAgRoT2HjjjbVzUS4wFpaVZNGiRblOnTrZ/IcddlhJ/jPPPNOmqb4vvvginx4Y5PLxl156aT5eJ8G0epumen1CYFzM7bDDDvn61bY+gXExd+WVV+ZuueWWfNo///nPgibi5FWmwJCaO+CAA3Jt2rTJl3d16xhsaJMLDKgF9YUvrrvuulznzp0jy6p8sI5q7tVXXw0XKTifNm1aLjAARpY/4YQTcp9++mk+7c477ywoO3DgQJvWv3//XGBAza2wwgr5vGp7yJAh+fxLly7NXXbZZblgfcqCPE7XI444Ijd//vx8/qiTwFhp9XFlwscePXrkHn300ahiuf/7v/+zbe6xxx65hQsXWt7hsjpfbrnlciNHjrTlv/zyy5zkicozePDgyDYU2RwdnYy77bZbbvHixbkf//jHJe1LnsAImws2CyuQYejQoZF5lf/0008vyMsFBCAAAQhAAAKtkwAeoME3HwIEIAABCEAAAhDIEoFRo0aZzz77zIq833771Vz0V155xQTGM/PBBx9YWeTt2Lt3b7tGqbwjzzjjDOtpmVTQwNBr9t9/f+vlp7La9Enef5988on529/+Zr1fdZSXZGBUNeutt16+ieCruxGbxx9/3MbJEzIw0FoPTXkEygNQXqry7JSHozwMu3Xrli+vk8AwavVSPoXASG31UnmVC4yrZvLkyTatqT/yQA0MhlbucL69997bXir9e9/7nnnyySft9aqrrmp1lUemvE6nTp1qAuOq3fBqzJgx1ps0XI/O//SnP5mjjjrKjovAWGw9f+WpKu9a6SrvR7E8++yzzbBhw4qL22tx3WeffczTTz9tll12WbP99tsbySZv0sDoaE4++WTLPzCem4cfftjIE1mepTNnzjTydlWeCy64wLb93e9+t6CNNHRUhRr3Bx54oO3XwKBsPT4Dg6zt/8DAahnJ61kyuY3AVl999fx4nDdvnvUYlneywtprr22P/IEABCAAAQhAoJUTaJ12XbSCAAQgAAEIQAAC2SLgPEADo5f1SJRXovsEBijrQfjQQw/lDj744Lw322mnnZb76quvShSN86ishgeovPrkRRl8Zc4FRrPc73//+wJ5AuNdLpganpdZ+Sr1AL377rvz5a655pqCeuWFGBjy8umDBg0qSH/sscfyaYHhznoNhjMExr6816tkuvjii8PJ1lsxMKTZOoJd6nNXX311Qfp//vOfXDDlOt+G6rjjjjsK8jgPUKXpc+SRR+aeeuqpnGQ7//zz83nlNenynHjiidarNJ8YnNx11115j9+99tornGTPP/zww9zKK69s6wgMerlgWnpBHnnRqpxrY8KECQXpzrvSpUvujz76KJ8nmLafLyuPXuWT96r6wIVgd/V8nr59+7ro/LG5OhbLeOqpp+aCDcHy9UvHcH/cdNNN+TR3Io9dyS4vWwIEIAABCEAAAo1FQGvgECAAAQhAAAIQgAAEakzAGUCdEarc8aKLLoqVuCUNoGPHjs0bvgJPz0iZgnU37VR4p1OlBlAZLlVGywIsWbKkpG4Z4AJv05ymd//whz8sSNe0c5Vda621Issqs6avy2irfIFXYUH5sAH1V7/6VUGauwi8CQumtTdlANXU7ChjdeB5muvYsaOVIfCadFWXHG+77TabR7LKEB4Op5xyik2TcfKZZ54JJ+XPHSuVl6EwLEvYuKgp5mHDpqvgO9/5Tr79gw46yEUXHAPvUZsn8LgsiE9Dx7CMUQZWNSijtPTT5/vf/36BDLrAAFqChAgIQAACEIBAwxAov+J78A2CAAEIQAACEIAABCBQXwQuv/xyO904MAzWVDBN0VbQlOmf//znkbJo6vihhx4amdZUpKYuKwQejub+++8vyao2tQGPNuwJvCQL0i+55BJz7733msAT0CyzzDIFae4iWO/UBAZSexkYQ120PWqKu4Ly/OIXv7DnxX+6d+9uAsNccXTktaaPR222FKyNaoJ1N22ZwKsysqwiA+9Ro6nxCirjQmDINDfccIO91LRzbVYUFcQq8Bi2SVouIG7qvnRV3uKg6fQuBIZEd1pw1NIHCtqAS9PhXWiujq4ed4zrDy2BoE2SFDTVnQABCEAAAhCAAAQcgdJvNy6FIwQgAAEIQAACEIBAixPQuoaBJ2FJu1pDMdgEx67HKIOSjIIymGkHbK3/GGfkK6ko5QitD6mgXbjXXHPN2Nr33HNPc88998SmRyXIoBdMFbdJgYenGTFihF0rU2tnbr311nYtxzi9la5PVNAu5Fq3VDuYu3VLiw3JMhIqaM3R4rVBw3Xuuuuu4cvYc+04HxW0y7qC1qsUQ/VxXNAO5zL2ujLKp7VLg42ubJFvf/vbTZaXIdoF1aG1U4uDdpyPCiuuuGI+Om6ndxmLXQi8SE2wcZK9dPL66ujqdEftOB8XZARV36p9AgQgAAEIQAACEHAEMIA6EhwhAAEIQAACEIBAHRAI1pu0m9U0JUow5dkEu79b78dgfUZz6623mmOOOaapIlVLcwZQ50kZ15DPZjPBVG3r3Risi2lkoPzHP/5hP+eee65ZbbXV7IY9hx9+uJFxNcprUbLIwClPUG1oJG/RYDq+NSLGyeninQE0vLGSSwsfe/bsGb6MPQ/WQY1Me/311228NnwKpvJH5imOnDFjhpaxsgZgV155gnVM7ac4f9S1M0oWp4UNncVp7jpOTm2+FBWcjL46Fte5zjrrFEflrzt06GDPtSESAQIQgAAEIAABCDgCTIF3JDhCAAIQgAAEIACBjBDYfPPNzfDhw/PSXn/99fnzlj6RMU4hWKezyaZlsPQJxx57rPXU1BR6t6u36pk7d665+eabjbxEg/UpjXZmLw4ylMpYdtJJJ5lrr73W7m4uD0oFeWSefvrpkUZHGVs1jVvBGdTsRcSfzp07R8QWRsk4qx3do8Ls2bOjopuMkzew25nep7wq1+7wUaGcvlFlysX5yBjWsbj+8DgoTuMaAhCAAAQgAAEIRBHAAzSKCnEQgAAEIAABCECgzgnsvvvu1jgnQ9H06dNrJm2w+7h5++23Iw2QYaHcVPNwXKXnO++8s9FHuj799NPmr3/9q/nLX/5ipk2bZqt47rnnTLBjuwl2uTfyoFUINi4yWgdUQcbZYJMj07t3bzvte8stt8wbJIMNhWye8B8ZLOWxqunlcYZCl79cussXd5TnrAyEm222mXHrjsblDcc7w2vY81aewMHmP+FsseduenpshhQTmqtjiqJQFQQgAAEIQAACDUoAA2iDdjxqQwACEIAABCCQfQJu3cpy3pfV1FSGQhlAZ82a1WQz5dKbLPy/RHknav1Pfa644gozdepUu7mSjvIA1RT5YBdzO+192LBhtpQMi0888UTs+qRaS1VBmwmFgzxEZQANdhYPR5ecz5w5syQuSYTakQFXU9JlvE3q3RheW1TT+7WGbL2F5upYb/ogDwQgAAEIQAAC2SPAFPjs9RkSQwACEIAABCAAAfPUU0/lN3qJ2/m7JTDts88+thlNSZ8wYUJsk/LaTBJkkNS6pttvv7056qijIotqKQBn6FQG50EpL1GtkakwcODAWOOnPEg//vhjm88Zk+1F8Ecetgoygj7++OP2POpPc5cf0CZLCmp/9OjRUU3YOK1pKZlk4A3vPK81Sp3R9LHHHjNNrX153333GW2UJG/YpvoqVgjPhObq6NlsSTG3RqkbGyUZiIAABCAAAQhAoNUSwADaarsWxSAAAQhAAAIQaK0EtKlMeNOjfv361UzVH/3oR2b55Ze37WvH9igDnHbllvEtSdDu7prS/uKLL5rbb7/d7nYfVT5szHKG4MWLF+ezujVK8xH/O5HhM2xYLd41/LTTTjOa3q+g6fRRU/jvuOMOM27cuP/V6Hf42c9+Zrp06WILn3nmmeazzz6LrOimm26ya6HKuBuevt62bdu8QXTSpEl2rdOoCj799FMzaNAgu0P6mDFj7O72UfmqEddcHdOSyRmKNT7EgwABCEAAAhCAQOMQwADaOH2NphCAAAQgAAEIZICA1rl0u3mHj0OHDjXa1EfGTk3rlselwr777muOPvrommm28cYbGxnnFOSV+r3vfS+/y7qMk5p+rl3aowyj5YQeMGCAzaJ6TjjhhPyan66cvBhPPvlke7nKKqsYZwDVeqDO20+ySS43xV1yaId3cXvppZdcVWb+/Pn5c51oKvmvf/1rG6ed7rUjvbw9J06caD1C5Vn64x//uKCMa7MgsszFqquuagYPHmxzaZkAeby+8MIL+VKaYq8Nr7SRk4J2aT/11FPz6TqR4XnNNde0cfIOPe+88/KG1C+++MLKK33dWrGqq3v37gV1VPMiDR3TkK9bt275asT873//u11GIR/JCQQgAAEIQAACrZYAa4C22q5FMQhAAAIQgAAEskhABlAZsCoJu+66q5EXorwAaxmOOOIIo/UnhwwZYo1t2vFd6z7Ka1JrbMqbUx6VI0aMSCSmDLvjx4+3u71revsWW2xh1lhjDbtzu9b8dDu6r7766ubBBx/Mc1h//fXNWWedZS699FJrCOzbt6/15uzVq5c1fi5YsMDKcfjhh5uOHTuaUaNG2Y2IPvroI2tgdELKmKgNkbRbvKbCywgbDtrc57jjjjMXXHCBjXYehuE8lZyfcsop1hB3ww032GOfPn2MjHUyUmptUBckq6a5a2f7cNCGSHfffbdRP2hTJhnOtQGU+kDrs4a9HQ866CBrUA2Xb4nz5uqYhoxaPkBGahnUL7vsMvs54IADzMMPP5xG9dQBAQhAAAIQgEAdE6jtt+U6BoNoEIAABCAAAQhAoJ4IaAOgDTbYwMjo+dOf/tRunCPPRnkE1kO48MILrdFNnpgKMtzJ+CmDpYxzvl6qf/zjH+20bq11KcOVDHovv/yyNX5K9/333996cspoGA4yAsrI5fjIGKvp6pr6/q1vfcsaaiXXkUceaYtpWvQDDzwQrsKey8NU5U488US707w8Q+WlKeOovEHlGepC165d3Wmio4ys0lPrpMrIK4O2PFKd8VMGZHmbSm/n5VrcwC677GImT55sDbKaUi9PVxmlnfGzZ8+eRgbWe+65xxqki8tX+zoNHZsro+6d3//+93ZMurq0DiwBAhCAAAQgAIHWT6BN8EXy6xXiW7+uaAgBCEAAAhCAAAQgUGUCmnKtXdllqJShUYbLNIIMerNnz7aemPLUlKFQRr1yYdGiRUbrgGo39x49ethynTp1Kles4nR54Lqp8MUG0YorKcq4cOFCO91fXq7y9pRHa9Ld3eUJOmXKFLtBksrLW7XWnsJhNdPQMVxf0vN33nnHSAZxcWvYJq2D/BCAAAQgAAEIZIcABtDs9BWSQgACEIAABCAAAQi0EIH777/fen5qjVN5f4Y3HgqLcPzxx1vPynbt2lmPV01HJ0AAAhCAAAQgAAEI1BcB1gCtr/5AGghAAAIQgAAEIACBOiAgb8lrrrnGSiLjptuEKCyaNtEZOXKkjdpxxx0Nxs8wHc4hAAEIQAACEIBA/RDAAFo/fYEkEIAABCAAAQhAAAJ1QkAGTa3pqQ2TtMnRvHnzTP/+/e06oJqCP3bsWPPLX/7SrkuqjXUGDRpUJ5IjBgQgAAEIQAACEIBAMQGmwBcT4RoCEIAABCAAAQhAAAIBgdGjR9tNlrT+qAvyDA1fyzv0yiuvNNosiQABCEAAAhCAAAQgUJ8E2AW+PvsFqSAAAQhAAAIQgAAEakxg3333tRs6DRgwwKy00kpWGmf81E7rin/++ecxfta4n2geAhCAAAQgAAEIlCOAB2g5QqRDAAIQgAAEIAABCEAgIPDJJ5+YuXPnmu7du5tu3brBBAIQgAAEIAABCEAgIwQwgGakoxATAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQSE6AKfDJmVECAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyAgBDKAZ6SjEhAAEIAABCEAAAhCAAAQgAAEIQAACEIAABJITwACanBklIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYwQwACakY5CTAhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCA5AQygyZlRAgIQgAAEIAABCEAAAhCAAAQgAAEIQAACEMgIAQygGekoxIQABCAAAQhAAAIQgAAEIAABCEAAAhCAAASSE8AAmpwZJSAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGMEMAAmpGOQkwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgOQEMoMmZUQICEIAABCAAAQhAAAIQgAAEIAABCEAAAhDICAEMoBnpKMSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEkhPAAJqcGSUgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBjBDAAJqRjkJMCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAIDmB/weqcaSy0w04igAAAABJRU5ErkJggg==" width="672" /></p>
<pre class="r"><code>  ggsave(here(&quot;fig2.pdf&quot;), width = 6.5, height = 4)

# Appendix ====
  ## Descriptive Statistics ----
    ### Committee appointment Table A1----
    sumvars = c(&quot;member&quot;,
                &quot;oppoutinoutsider&quot;,
                &quot;oppoutininsider&quot;,
                &quot;oppoutinopposition&quot;,
                &quot;delta_policy&quot;,
                &quot;delta_lr&quot;,
                &quot;delta_policy_outsider&quot;)
    cmap[sumvars]</code></pre>
<pre><code>##                                  member                        oppoutinoutsider 
##                      &quot;Committee member&quot;                              &quot;Outsider&quot; 
##                         oppoutininsider                      oppoutinopposition 
##                               &quot;Insider&quot;                            &quot;Opposition&quot; 
##                            delta_policy                                delta_lr 
##            &quot;$\\Delta_{\\text{policy}}$&quot;              &quot;$\\Delta_{\\text{rile}}$&quot; 
##                   delta_policy_outsider 
## &quot;$\\widetilde\\Delta_{\\text{policy}}$&quot;</code></pre>
<pre class="r"><code>    sumvars[!sumvars %in% colnames(d_COM)]</code></pre>
<pre><code>## character(0)</code></pre>
<pre class="r"><code>    dstat_COM = stargazer(as.data.frame(d_COM[,sumvars]), summary = T, covariate.labels = cmap[sumvars])</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Mon, Nov 24, 2025 - 09:48:16
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
## Statistic &amp; \multicolumn{1}{c}{N} &amp; \multicolumn{1}{c}{Mean} &amp; \multicolumn{1}{c}{St. Dev.} &amp; \multicolumn{1}{c}{Min} &amp; \multicolumn{1}{c}{Max} \\ 
## \hline \\[-1.8ex] 
## Committee member &amp; 9,742 &amp; 0.337 &amp; 0.473 &amp; 0 &amp; 1 \\ 
## Outsider &amp; 9,742 &amp; 0.152 &amp; 0.359 &amp; 0 &amp; 1 \\ 
## Insider &amp; 9,742 &amp; 0.258 &amp; 0.437 &amp; 0 &amp; 1 \\ 
## Opposition &amp; 9,742 &amp; 0.590 &amp; 0.492 &amp; 0 &amp; 1 \\ 
## $\Delta_{\text{policy}}$ &amp; 9,742 &amp; 0.073 &amp; 1.000 &amp; $-$4.517 &amp; 4.592 \\ 
## $\Delta_{\text{rile}}$ &amp; 9,742 &amp; 0.137 &amp; 1.000 &amp; $-$2.810 &amp; 2.958 \\ 
## $\widetilde\Delta_{\text{policy}}$ &amp; 9,552 &amp; 0.122 &amp; 1.000 &amp; $-$4.916 &amp; 5.821 \\ 
## \hline \\[-1.8ex] 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>    writeLines(dstat_COM, here(&quot;tabA1.txt&quot;))

    ### Rapporteur assignment Table A2----
    sumvars = c(&quot;appointed&quot;,
                &quot;oppoutinoutsider&quot;,
                &quot;oppoutininsider&quot;,
                &quot;oppoutinopposition&quot;,
                &quot;member_pct&quot;,
                &quot;delta_policy&quot;,
                &quot;delta_lr&quot;,
                &quot;delta_policy_outsider&quot;,
                &quot;billdisagree_wo&quot;)
    cmap[sumvars]</code></pre>
<pre><code>##                               appointed                        oppoutinoutsider 
##                            &quot;Rapporteur&quot;                              &quot;Outsider&quot; 
##                         oppoutininsider                      oppoutinopposition 
##                               &quot;Insider&quot;                            &quot;Opposition&quot; 
##                              member_pct                            delta_policy 
##                 &quot;Strength in committee&quot;            &quot;$\\Delta_{\\text{policy}}$&quot; 
##                                delta_lr                   delta_policy_outsider 
##              &quot;$\\Delta_{\\text{rile}}$&quot; &quot;$\\widetilde\\Delta_{\\text{policy}}$&quot; 
##                         billdisagree_wo 
##                     &quot;Bill disagreement&quot;</code></pre>
<pre class="r"><code>    sumvars[!sumvars %in% colnames(d_RAP)]</code></pre>
<pre><code>## character(0)</code></pre>
<pre class="r"><code>    dstat_RAP = stargazer(as.data.frame(d_RAP[,sumvars]), summary = T, covariate.labels = cmap[sumvars])</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Mon, Nov 24, 2025 - 09:48:16
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
## Statistic &amp; \multicolumn{1}{c}{N} &amp; \multicolumn{1}{c}{Mean} &amp; \multicolumn{1}{c}{St. Dev.} &amp; \multicolumn{1}{c}{Min} &amp; \multicolumn{1}{c}{Max} \\ 
## \hline \\[-1.8ex] 
## Rapporteur &amp; 61,925 &amp; 0.070 &amp; 0.255 &amp; 0 &amp; 1 \\ 
## Outsider &amp; 61,925 &amp; 0.162 &amp; 0.369 &amp; 0 &amp; 1 \\ 
## Insider &amp; 61,925 &amp; 0.412 &amp; 0.492 &amp; 0 &amp; 1 \\ 
## Opposition &amp; 61,925 &amp; 0.426 &amp; 0.495 &amp; 0 &amp; 1 \\ 
## Strength in committee &amp; 61,925 &amp; 1.713 &amp; 1.258 &amp; 0.588 &amp; 10.101 \\ 
## $\Delta_{\text{policy}}$ &amp; 61,925 &amp; 0.123 &amp; 1.000 &amp; $-$3.608 &amp; 5.483 \\ 
## $\Delta_{\text{rile}}$ &amp; 61,925 &amp; 0.289 &amp; 1.000 &amp; $-$2.530 &amp; 3.339 \\ 
## $\widetilde\Delta_{\text{policy}}$ &amp; 58,969 &amp; 0.119 &amp; 1.000 &amp; $-$5.415 &amp; 8.298 \\ 
## Bill disagreement &amp; 61,925 &amp; 0.126 &amp; 0.171 &amp; 0.000 &amp; 1.000 \\ 
## \hline \\[-1.8ex] 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>    writeLines(dstat_RAP, here(&quot;tabA2.txt&quot;))

    ### Generate Figure A3 ----
    ggplot(d_RAP %&gt;%
             mutate(oppoutin = case_match(oppoutin,
                                          &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                          &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                          &quot;insider&quot; ~ &quot;Insider&quot;)),
           aes(y = billdisagree_wo, x = oppoutin)) +
      geom_violin(alpha = 0.2) +
      geom_point(stat = &quot;summary&quot;,
                 fun = mean) +
      theme_bw() +
      theme(strip.background = element_blank(),
            strip.text = element_text(size = 11)) +
      labs(y = &quot;Bill disagreement&quot;,
           x = &quot;Party status&quot;)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>    ggsave(here(&quot;figA3.pdf&quot;), width = 6.5, height = 4)

  ## MEP survey ----
    ### Contact frequency ----
      # prep data
      d_contact = d_MEPsurvey %&gt;% filter(!is.na(contact_natministers)) %&gt;%
        filter(gov_isCoalition == 1) %&gt;%
        group_by(gov, contact_natministers) %&gt;%
        summarize(n = n()) %&gt;%
        group_by(gov) %&gt;%
        mutate(pct = 100*n/sum(n)) %&gt;%
        ungroup() %&gt;%
        mutate(gov = factor(gov),
               var = &quot;National minister&quot;)</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gov&#39;. You can override using the `.groups`
## argument.</code></pre>
<pre class="r"><code>      d_contact =
        bind_rows(d_contact,
                  d_MEPsurvey %&gt;% filter(!is.na(contact_natpartyleader)) %&gt;%
                    filter(gov_isCoalition == 1) %&gt;%
                    group_by(gov, contact_natpartyleader) %&gt;%
                    summarize(n = n()) %&gt;%
                    group_by(gov) %&gt;%
                    mutate(pct = 100*n/sum(n)) %&gt;%
                    ungroup() %&gt;%
                    mutate(gov = factor(gov),
                           var = &quot;National party (leadership)&quot;))</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gov&#39;. You can override using the `.groups`
## argument.</code></pre>
<pre class="r"><code>      d_contact =
        bind_rows(d_contact,
                  d_MEPsurvey %&gt;% filter(!is.na(contact_copartisans)) %&gt;%
                    filter(gov_isCoalition == 1) %&gt;%
                    group_by(gov, contact_copartisans) %&gt;%
                    summarize(n = n()) %&gt;%
                    group_by(gov) %&gt;%
                    mutate(pct = 100*n/sum(n)) %&gt;%
                    ungroup() %&gt;%
                    mutate(gov = factor(gov),
                           var = &quot;National party (member)&quot;))</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gov&#39;. You can override using the `.groups`
## argument.</code></pre>
<pre class="r"><code>      # clean labels
      d_contact = d_contact %&gt;%
        mutate(contact = coalesce(contact_natministers, contact_natpartyleader, contact_copartisans),
               contact_labels = case_when(contact == 1 ~ &quot;week&quot;,
                                          contact == 2 ~ &quot;month&quot;,
                                          contact == 3 ~ &quot;3 months&quot;,
                                          contact == 4 ~ &quot;year&quot;,
                                          contact == 5 ~ &quot;less often&quot;,
                                          contact == 6 ~ &quot;never&quot;)) %&gt;%
        arrange(contact) %&gt;%
        mutate(contact_labels = factor(contact_labels, levels = unique(contact_labels)))
      d_contact$var = factor(d_contact$var, levels = c(&quot;National party (leadership)&quot;, &quot;National party (member)&quot;, &quot;National minister&quot;))

      # Generate Figure A1
      ggplot(d_contact, aes(x = contact_labels, y = pct, fill = gov)) +
        geom_bar(stat = &quot;identity&quot;, position = &quot;dodge&quot;, color = &quot;grey20&quot;) +
        scale_fill_manual(values = c(&quot;grey80&quot;, &quot;grey50&quot;)) +
        labs(x = &quot;Frequency of contact&quot;,
             y = &quot;% of MEPs&quot;) +
        guides(fill = guide_legend(title = &quot;MEP from government party&quot;, direction = &quot;horizontal&quot;)) +
        theme_bw() +
        theme(legend.position = &quot;bottom&quot;) +
        facet_wrap(~var, ncol = 2) +
        theme(legend.position = c(0.8,0.1),
              legend.title.position = &quot;top&quot;,
              axis.text.x = element_text(angle = 20, hjust = 1),
              strip.text = element_text(face = &quot;bold&quot;, hjust = 0, size = 11),
              strip.background = element_blank())</code></pre>
<pre><code>## Warning: A numeric `legend.position` argument in `theme()` was deprecated in ggplot2
## 3.5.0.
## ℹ Please use the `legend.position.inside` argument of `theme()` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA1.pdf&quot;), width = 6.5, height = 4)

    ### Committee choice ----
      # prep data
      d_committeechoice = d_MEPsurvey %&gt;% filter(!is.na(committeechoice_natparty)) %&gt;%
        filter(gov_isCoalition == 1) %&gt;%
        group_by(gov, committeechoice_natparty) %&gt;%
        summarize(n = n()) %&gt;%
        group_by(gov) %&gt;%
        mutate(pct = 100*n/sum(n),
               gov = factor(gov),
               var = &quot;National party&quot;)</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gov&#39;. You can override using the `.groups`
## argument.</code></pre>
<pre class="r"><code>      d_committeechoice =
        bind_rows(d_committeechoice,
                  d_MEPsurvey %&gt;% filter(!is.na(committeechoice_EPgroup)) %&gt;%
                    filter(gov_isCoalition == 1) %&gt;%
                    group_by(gov, committeechoice_EPgroup) %&gt;%
                    summarize(n = n()) %&gt;%
                    group_by(gov) %&gt;%
                    mutate(pct = 100*n/sum(n),
                           gov = factor(gov),
                           var = &quot;Party group&quot;)) %&gt;%
        mutate(importance = coalesce(committeechoice_natparty, committeechoice_EPgroup)) %&gt;%
        select(-committeechoice_natparty, -committeechoice_EPgroup)</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gov&#39;. You can override using the `.groups`
## argument.</code></pre>
<pre class="r"><code>      # Generate Figure A2
      ggplot(d_committeechoice, aes(x = importance, y = pct, fill = gov)) +
        geom_bar(stat = &quot;identity&quot;, position = &quot;dodge&quot;, color = &quot;grey20&quot;) +
        facet_wrap(~var) +
        #scale_x_continuous() +
        scale_fill_manual(values = c(&quot;grey80&quot;, &quot;grey50&quot;)) +

        scale_x_reverse(breaks = 5:1, labels = c(&quot;Not at all\nimportant&quot;, 4:2, &quot;Extremely\nimportant&quot;)) +
        theme_bw() +
        labs(x = &quot;Importance for committee choice&quot;,
             y = &quot;% of MEPs&quot;) +
        guides(fill = guide_legend(title = &quot;MEP from government party&quot;)) +
        theme_bw() +
        theme(legend.position = &quot;bottom&quot;,
              strip.text = element_text(face = &quot;bold&quot;, hjust = 0, size = 11),
              strip.background = element_blank())</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA2.pdf&quot;), width = 6.5, height = 4)

    ## Remove member_pct from ----
      ### Fit models ----
      mRAP.policyagreeFE1_exclmemberpct = feglm(
        appointed ~
          oppoutin*delta_policy*billdisagree_wo
        |
          1
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFE1_exclmemberpct)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Standard-errors: IID 
##                                                  Estimate Std. Error    z value
## (Intercept)                                     -2.614102   0.029881 -87.483347
## oppoutinopposition                               0.020769   0.043103   0.481839
## oppoutinoutsider                                -0.104757   0.058107  -1.802842
## delta_policy                                    -0.037475   0.028166  -1.330486
## billdisagree_wo                                 -0.142820   0.165908  -0.860835
## oppoutinopposition:delta_policy                 -0.091951   0.042795  -2.148619
## oppoutinoutsider:delta_policy                   -0.288953   0.070022  -4.126610
## oppoutinopposition:billdisagree_wo               0.512703   0.207296   2.473286
## oppoutinoutsider:billdisagree_wo                 0.829935   0.265588   3.124900
## delta_policy:billdisagree_wo                    -0.050994   0.164099  -0.310751
## oppoutinopposition:delta_policy:billdisagree_wo  0.258680   0.200324   1.291308
## oppoutinoutsider:delta_policy:billdisagree_wo    1.319518   0.314165   4.200078
##                                                   Pr(&gt;|z|)    
## (Intercept)                                      &lt; 2.2e-16 ***
## oppoutinopposition                              6.2992e-01    
## oppoutinoutsider                                7.1413e-02 .  
## delta_policy                                    1.8336e-01    
## billdisagree_wo                                 3.8933e-01    
## oppoutinopposition:delta_policy                 3.1665e-02 *  
## oppoutinoutsider:delta_policy                   3.6815e-05 ***
## oppoutinopposition:billdisagree_wo              1.3388e-02 *  
## oppoutinoutsider:billdisagree_wo                1.7787e-03 ** 
## delta_policy:billdisagree_wo                    7.5599e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 1.9660e-01    
## oppoutinoutsider:delta_policy:billdisagree_wo   2.6682e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -15,618.7   Adj. Pseudo R2: 0.001978
##            BIC:  31,369.7     Squared Cor.: 0.001618</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabparty_exclmemberpct = feglm(
        appointed ~
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabparty_exclmemberpct)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## oppoutinopposition                               0.051916   0.222840  0.232976
## oppoutinoutsider                                -0.029408   0.069142 -0.425322
## delta_policy                                    -0.043318   0.033961 -1.275542
## billdisagree_wo                                 -0.410769   0.195915 -2.096668
## oppoutinopposition:delta_policy                 -0.063644   0.052273 -1.217526
## oppoutinoutsider:delta_policy                   -0.136972   0.080860 -1.693942
## oppoutinopposition:billdisagree_wo              -0.229879   0.263484 -0.872457
## oppoutinoutsider:billdisagree_wo                 0.737650   0.295505  2.496233
## delta_policy:billdisagree_wo                    -0.011032   0.176058 -0.062663
## oppoutinopposition:delta_policy:billdisagree_wo  0.532474   0.227717  2.338310
## oppoutinoutsider:delta_policy:billdisagree_wo    1.443330   0.368841  3.913150
##                                                  Pr(&gt;|z|)    
## oppoutinopposition                              0.8157800    
## oppoutinoutsider                                0.6706020    
## delta_policy                                    0.2021176    
## billdisagree_wo                                 0.0360229 *  
## oppoutinopposition:delta_policy                 0.2234041    
## oppoutinoutsider:delta_policy                   0.0902762 .  
## oppoutinopposition:billdisagree_wo              0.3829592    
## oppoutinoutsider:billdisagree_wo                0.0125520 *  
## delta_policy:billdisagree_wo                    0.9500352    
## oppoutinopposition:delta_policy:billdisagree_wo 0.0193712 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   0.0000911 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,587.4   Adj. Pseudo R2: 0.097966
##            BIC:  33,133.0     Squared Cor.: 0.092907</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabpartycom_exclmemberpct = feglm(
        appointed ~
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty +
          title_short
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_exclmemberpct)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529,  title_short: 20
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## oppoutinopposition                               0.047429   0.223858  0.211870
## oppoutinoutsider                                -0.050100   0.071488 -0.700820
## delta_policy                                    -0.039036   0.034373 -1.135684
## billdisagree_wo                                 -0.406227   0.197743 -2.054321
## oppoutinopposition:delta_policy                 -0.043471   0.052791 -0.823468
## oppoutinoutsider:delta_policy                   -0.129924   0.081613 -1.591940
## oppoutinopposition:billdisagree_wo              -0.196397   0.264724 -0.741892
## oppoutinoutsider:billdisagree_wo                 0.723737   0.298206  2.426970
## delta_policy:billdisagree_wo                    -0.056885   0.175758 -0.323654
## oppoutinopposition:delta_policy:billdisagree_wo  0.549788   0.227715  2.414368
## oppoutinoutsider:delta_policy:billdisagree_wo    1.445271   0.370926  3.896384
##                                                   Pr(&gt;|z|)    
## oppoutinopposition                              0.83220861    
## oppoutinoutsider                                0.48341528    
## delta_policy                                    0.25608894    
## billdisagree_wo                                 0.03994459 *  
## oppoutinopposition:delta_policy                 0.41024169    
## oppoutinoutsider:delta_policy                   0.11139816    
## oppoutinopposition:billdisagree_wo              0.45815290    
## oppoutinoutsider:billdisagree_wo                0.01522553 *  
## delta_policy:billdisagree_wo                    0.74619974    
## oppoutinopposition:delta_policy:billdisagree_wo 0.01576252 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   0.00009764 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,493.1   Adj. Pseudo R2: 0.102779
##            BIC:  33,153.9     Squared Cor.: 0.098289</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabpartycom_term_exclmemberpct = feglm(
        appointed ~
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_term_exclmemberpct)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty^EPterm: 701,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## oppoutinopposition                               0.276161   0.290480  0.950706
## oppoutinoutsider                                -0.078011   0.073516 -1.061142
## delta_policy                                    -0.036861   0.034911 -1.055854
## billdisagree_wo                                 -0.425633   0.201363 -2.113761
## oppoutinopposition:delta_policy                 -0.044874   0.053782 -0.834369
## oppoutinoutsider:delta_policy                   -0.141282   0.083349 -1.695070
## oppoutinopposition:billdisagree_wo              -0.140053   0.268726 -0.521176
## oppoutinoutsider:billdisagree_wo                 0.804360   0.303137  2.653455
## delta_policy:billdisagree_wo                    -0.054835   0.177878 -0.308275
## oppoutinopposition:delta_policy:billdisagree_wo  0.517497   0.229942  2.250556
## oppoutinoutsider:delta_policy:billdisagree_wo    1.466823   0.375031  3.911209
##                                                   Pr(&gt;|z|)    
## oppoutinopposition                              3.4175e-01    
## oppoutinoutsider                                2.8863e-01    
## delta_policy                                    2.9104e-01    
## billdisagree_wo                                 3.4536e-02 *  
## oppoutinopposition:delta_policy                 4.0407e-01    
## oppoutinoutsider:delta_policy                   9.0062e-02 .  
## oppoutinopposition:billdisagree_wo              6.0224e-01    
## oppoutinoutsider:billdisagree_wo                7.9672e-03 ** 
## delta_policy:billdisagree_wo                    7.5787e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 2.4414e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   9.1835e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,327.4   Adj. Pseudo R2: 0.099821
##            BIC:  35,161.7     Squared Cor.: 0.10697</code></pre>
<pre class="r"><code>      ### Generate table A6----
      models_policyagree_RAP_exclmemberpct = list(mRAP.policyagreeFE1_exclmemberpct,
                                                  mRAP.policyagreeFEcabparty_exclmemberpct,
                                                  mRAP.policyagreeFEcabpartycom_exclmemberpct,
                                                  mRAP.policyagreeFEcabpartycom_term_exclmemberpct)
      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Log. Lik.&quot;, round(unlist(lapply(models_policyagree_RAP_exclmemberpct, logLik)), 3)),
                                 ncol = length(models_policyagree_RAP_exclmemberpct) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 24 + 1:nrow(FE_add)

      regtab = modelsummary(models_policyagree_RAP_exclmemberpct,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            width = c(0.4, rep(0.6/length(models_policyagree_RAP_exclmemberpct), length(models_policyagree_RAP_exclmemberpct))),
                            title = &quot;Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_policyagree_RAP_exclmemberpct}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_flzn8p3qxr92y7qrl7j5(i, j, css_id) {
        var table = document.getElementById("tinytable_flzn8p3qxr92y7qrl7j5");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_flzn8p3qxr92y7qrl7j5');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_flzn8p3qxr92y7qrl7j5(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_flzn8p3qxr92y7qrl7j5");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(0, 0, 'tinytable_css_idi26fg9aljnda11mngd83') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(0, 1, 'tinytable_css_idjy2yd3e2zdl6urcmdl0v') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(0, 2, 'tinytable_css_idjy2yd3e2zdl6urcmdl0v') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(0, 3, 'tinytable_css_idjy2yd3e2zdl6urcmdl0v') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(0, 4, 'tinytable_css_idjy2yd3e2zdl6urcmdl0v') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(1, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(1, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(1, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(1, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(1, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(2, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(2, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(2, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(2, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(2, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(3, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(3, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(3, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(3, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(3, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(4, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(4, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(4, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(4, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(4, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(5, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(5, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(5, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(5, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(5, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(6, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(6, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(6, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(6, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(6, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(7, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(7, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(7, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(7, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(7, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(8, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(8, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(8, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(8, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(8, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(9, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(9, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(9, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(9, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(9, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(10, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(10, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(10, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(10, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(10, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(11, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(11, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(11, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(11, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(11, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(12, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(12, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(12, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(12, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(12, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(13, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(13, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(13, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(13, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(13, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(14, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(14, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(14, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(14, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(14, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(15, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(15, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(15, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(15, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(15, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(16, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(16, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(16, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(16, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(16, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(17, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(17, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(17, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(17, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(17, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(18, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(18, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(18, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(18, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(18, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(19, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(19, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(19, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(19, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(19, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(20, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(20, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(20, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(20, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(20, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(21, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(21, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(21, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(21, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(21, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(22, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(22, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(22, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(22, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(22, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(23, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(23, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(23, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(23, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(23, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(24, 0, 'tinytable_css_idp7amjjfii75so1brny3j') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(24, 1, 'tinytable_css_idmf9lqgddhwahkn3jv9zf') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(24, 2, 'tinytable_css_idmf9lqgddhwahkn3jv9zf') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(24, 3, 'tinytable_css_idmf9lqgddhwahkn3jv9zf') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(24, 4, 'tinytable_css_idmf9lqgddhwahkn3jv9zf') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(25, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(25, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(25, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(25, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(25, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(26, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(26, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(26, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(26, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(26, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(27, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(27, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(27, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(27, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(27, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(28, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(28, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(28, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(28, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(28, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(29, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(29, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(29, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(29, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(29, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(30, 0, 'tinytable_css_id4gpas43zatf1rpsjf5en') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(30, 1, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(30, 2, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(30, 3, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(30, 4, 'tinytable_css_id03c5aw0sqjkvr4ha99i3') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(31, 0, 'tinytable_css_idmwdczphvb57ur4kc9d8f') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(31, 1, 'tinytable_css_idmwdczphvb57ur4kc9d8f') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(31, 2, 'tinytable_css_idmwdczphvb57ur4kc9d8f') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(31, 3, 'tinytable_css_idmwdczphvb57ur4kc9d8f') })
window.addEventListener('load', function () { styleCell_flzn8p3qxr92y7qrl7j5(31, 4, 'tinytable_css_idmwdczphvb57ur4kc9d8f') })
    </script>

    <style>
.table td.tinytable_css_idi26fg9aljnda11mngd83, .table th.tinytable_css_idi26fg9aljnda11mngd83 { width: 40%; text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idjy2yd3e2zdl6urcmdl0v, .table th.tinytable_css_idjy2yd3e2zdl6urcmdl0v { width: 15%; text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_id4gpas43zatf1rpsjf5en, .table th.tinytable_css_id4gpas43zatf1rpsjf5en { width: 40%; text-align: left; }
.table td.tinytable_css_id03c5aw0sqjkvr4ha99i3, .table th.tinytable_css_id03c5aw0sqjkvr4ha99i3 { width: 15%; text-align: center; }
.table td.tinytable_css_idp7amjjfii75so1brny3j, .table th.tinytable_css_idp7amjjfii75so1brny3j { width: 40%; border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idmf9lqgddhwahkn3jv9zf, .table th.tinytable_css_idmf9lqgddhwahkn3jv9zf { width: 15%; border-bottom: solid 0.05em black; text-align: center; }
.table td.tinytable_css_idmwdczphvb57ur4kc9d8f, .table th.tinytable_css_idmwdczphvb57ur4kc9d8f { text-align: left; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_flzn8p3qxr92y7qrl7j5" style="table-layout: fixed; width: 100% !important; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_policyagree_RAP_exclmemberpct}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                   </td>
                  <td>-0.105+   </td>
                  <td>-0.029     </td>
                  <td>-0.050     </td>
                  <td>-0.078     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.058)   </td>
                  <td>(0.069)    </td>
                  <td>(0.071)    </td>
                  <td>(0.074)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                                 </td>
                  <td>0.021     </td>
                  <td>0.052      </td>
                  <td>0.047      </td>
                  <td>0.276      </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.043)   </td>
                  <td>(0.223)    </td>
                  <td>(0.224)    </td>
                  <td>(0.290)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$                                                 </td>
                  <td>-0.037    </td>
                  <td>-0.043     </td>
                  <td>-0.039     </td>
                  <td>-0.037     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.028)   </td>
                  <td>(0.034)    </td>
                  <td>(0.034)    </td>
                  <td>(0.035)    </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                          </td>
                  <td>-0.143    </td>
                  <td>-0.411*    </td>
                  <td>-0.406*    </td>
                  <td>-0.426*    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.166)   </td>
                  <td>(0.196)    </td>
                  <td>(0.198)    </td>
                  <td>(0.201)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$ $\times$  bill disagreement                    </td>
                  <td>-0.051    </td>
                  <td>-0.011     </td>
                  <td>-0.057     </td>
                  <td>-0.055     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.164)   </td>
                  <td>(0.176)    </td>
                  <td>(0.176)    </td>
                  <td>(0.178)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$                              </td>
                  <td>-0.289*** </td>
                  <td>-0.137+    </td>
                  <td>-0.130     </td>
                  <td>-0.141+    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.070)   </td>
                  <td>(0.081)    </td>
                  <td>(0.082)    </td>
                  <td>(0.083)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$                            </td>
                  <td>-0.092*   </td>
                  <td>-0.064     </td>
                  <td>-0.043     </td>
                  <td>-0.045     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.043)   </td>
                  <td>(0.052)    </td>
                  <td>(0.053)    </td>
                  <td>(0.054)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                      </td>
                  <td>0.830**   </td>
                  <td>0.738*     </td>
                  <td>0.724*     </td>
                  <td>0.804**    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.266)   </td>
                  <td>(0.296)    </td>
                  <td>(0.298)    </td>
                  <td>(0.303)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                    </td>
                  <td>0.513*    </td>
                  <td>-0.230     </td>
                  <td>-0.196     </td>
                  <td>-0.140     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.207)   </td>
                  <td>(0.263)    </td>
                  <td>(0.265)    </td>
                  <td>(0.269)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement  </td>
                  <td>1.320***  </td>
                  <td>1.443***   </td>
                  <td>1.445***   </td>
                  <td>1.467***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.314)   </td>
                  <td>(0.369)    </td>
                  <td>(0.371)    </td>
                  <td>(0.375)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement</td>
                  <td>0.259     </td>
                  <td>0.532*     </td>
                  <td>0.550*     </td>
                  <td>0.517*     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.200)   </td>
                  <td>(0.228)    </td>
                  <td>(0.228)    </td>
                  <td>(0.230)    </td>
                </tr>
                <tr>
                  <td>Intercept                                                                  </td>
                  <td>-2.614*** </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.030)   </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                                 </td>
                  <td>          </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                                               </td>
                  <td>          </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                                                </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                                  </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                                  </td>
                  <td>-15618.657</td>
                  <td>-13587.43  </td>
                  <td>-13493.055 </td>
                  <td>-13327.383 </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                   </td>
                  <td>61925     </td>
                  <td>61925      </td>
                  <td>61925      </td>
                  <td>61925      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA6.txt&quot;), overwrite = T)
      rm(regtab, FE_add, models_policyagree_RAP_exclmemberpct)

  ## LPM ----
    ### Committee appointment ----
      # Fit models
      mCOM.policyFE1_LPM = feols(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          1,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )
      summary(mCOM.policyFE1_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: member
## Observations: 9,742
## Standard-errors: IID 
##                                  Estimate Std. Error   t value   Pr(&gt;|t|)    
## (Intercept)                      0.413360   0.009400 43.972873  &lt; 2.2e-16 ***
## oppoutinopposition              -0.098359   0.011282 -8.717972  &lt; 2.2e-16 ***
## oppoutinoutsider                -0.115480   0.015416 -7.490979 7.4307e-14 ***
## oppoutininsider:delta_policy     0.008346   0.009353  0.892282 3.7226e-01    
## oppoutinopposition:delta_policy -0.009311   0.006148 -1.514290 1.2998e-01    
## oppoutinoutsider:delta_policy    0.034181   0.012864  2.657141 7.8935e-03 ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.470314   Adj. R2: 0.009785</code></pre>
<pre class="r"><code>      mCOM.policyFEcabparty_LPM = feols(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          cabparty,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyFEcabparty_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: cabparty: 419
## Standard-errors: IID 
##                                  Estimate Std. Error   t value Pr(&gt;|t|)    
## oppoutinoutsider                -0.006293   0.016196 -0.388557 0.697613    
## oppoutininsider:delta_policy     0.001233   0.009660  0.127661 0.898420    
## oppoutinopposition:delta_policy -0.004584   0.006397 -0.716579 0.473652    
## oppoutinoutsider:delta_policy    0.031996   0.012745  2.510458 0.012074 *  
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.401665     Adj. R2: 0.245443
##                  Within R2: 7.519e-4</code></pre>
<pre class="r"><code>      mCOM.policyFEcabpartycom_LPM = feols(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          cabparty + title_short,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyFEcabpartycom_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: cabparty: 419,  title_short: 24
## Standard-errors: IID 
##                                  Estimate Std. Error   t value  Pr(&gt;|t|)    
## oppoutinoutsider                -0.004302   0.015748 -0.273207 0.7847000    
## oppoutininsider:delta_policy     0.002638   0.009370  0.281571 0.7782789    
## oppoutinopposition:delta_policy -0.003702   0.006224 -0.594752 0.5520240    
## oppoutinoutsider:delta_policy    0.034236   0.012372  2.767227 0.0056647 ** 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.388483     Adj. R2: 0.292411
##                  Within R2: 8.705e-4</code></pre>
<pre class="r"><code>      mCOM.policyFEcabpartycom_term_LPM = feols(
        member ~
          oppoutin + oppoutin:delta_policy
        |
          cabparty^EPterm + title_short^EPterm,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyFEcabpartycom_term_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: cabparty^EPterm: 433,  title_short^EPterm: 90
## Standard-errors: IID 
##                                  Estimate Std. Error   t value Pr(&gt;|t|)    
## oppoutinoutsider                -0.002332   0.015895 -0.146716 0.883359    
## oppoutininsider:delta_policy     0.003901   0.009414  0.414381 0.678605    
## oppoutinopposition:delta_policy -0.003973   0.006325 -0.628221 0.529875    
## oppoutinoutsider:delta_policy    0.035260   0.012429  2.836923 0.004565 ** 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.386635     Adj. R2: 0.293042
##                  Within R2: 9.189e-4</code></pre>
<pre class="r"><code>      # Generate table A7
      models_policy_COM_LPM = list(mCOM.policyFE1_LPM,
                                   mCOM.policyFEcabparty_LPM,
                                   mCOM.policyFEcabpartycom_LPM,
                                   mCOM.policyFEcabpartycom_term_LPM)
      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;),
                                 ncol = length(models_policy_COM_LPM) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 12 + 1:nrow(FE_add)

      regtab = modelsummary(models_policy_COM_LPM,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|Within&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            title = &quot;Linear regression estimates. DV: Committee appointment. Standard errors in parentheses.\\label{tab:regtab_deltapolicy_COM_LPM}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_efbru1hgzg7vdbqpwguq(i, j, css_id) {
        var table = document.getElementById("tinytable_efbru1hgzg7vdbqpwguq");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_efbru1hgzg7vdbqpwguq');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_efbru1hgzg7vdbqpwguq(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_efbru1hgzg7vdbqpwguq");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(0, 0, 'tinytable_css_idsctu6a1b3x8vpz2zlu58') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(0, 1, 'tinytable_css_idnvis3ykziwr8ukzht5pg') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(0, 2, 'tinytable_css_idnvis3ykziwr8ukzht5pg') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(0, 3, 'tinytable_css_idnvis3ykziwr8ukzht5pg') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(0, 4, 'tinytable_css_idnvis3ykziwr8ukzht5pg') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(1, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(1, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(1, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(1, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(1, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(2, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(2, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(2, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(2, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(2, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(3, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(3, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(3, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(3, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(3, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(4, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(4, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(4, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(4, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(4, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(5, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(5, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(5, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(5, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(5, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(6, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(6, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(6, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(6, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(6, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(7, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(7, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(7, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(7, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(7, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(8, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(8, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(8, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(8, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(8, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(9, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(9, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(9, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(9, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(9, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(10, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(10, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(10, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(10, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(10, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(11, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(11, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(11, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(11, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(11, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(12, 0, 'tinytable_css_idlfnxskcmbgpspv446f36') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(12, 1, 'tinytable_css_idiwwsjs0ib052askf0kwy') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(12, 2, 'tinytable_css_idiwwsjs0ib052askf0kwy') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(12, 3, 'tinytable_css_idiwwsjs0ib052askf0kwy') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(12, 4, 'tinytable_css_idiwwsjs0ib052askf0kwy') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(13, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(13, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(13, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(13, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(13, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(14, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(14, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(14, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(14, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(14, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(15, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(15, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(15, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(15, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(15, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(16, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(16, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(16, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(16, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(16, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(17, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(17, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(17, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(17, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(17, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(18, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(18, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(18, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(18, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(18, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(19, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(19, 1, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(19, 2, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(19, 3, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(19, 4, 'tinytable_css_idkclku1uxm702zeojuo79') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(20, 0, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(20, 1, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(20, 2, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(20, 3, 'tinytable_css_id29fwfwixjr1drjzmljud') })
window.addEventListener('load', function () { styleCell_efbru1hgzg7vdbqpwguq(20, 4, 'tinytable_css_id29fwfwixjr1drjzmljud') })
    </script>

    <style>
.table td.tinytable_css_idsctu6a1b3x8vpz2zlu58, .table th.tinytable_css_idsctu6a1b3x8vpz2zlu58 { text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idnvis3ykziwr8ukzht5pg, .table th.tinytable_css_idnvis3ykziwr8ukzht5pg { text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_id29fwfwixjr1drjzmljud, .table th.tinytable_css_id29fwfwixjr1drjzmljud { text-align: left; }
.table td.tinytable_css_idkclku1uxm702zeojuo79, .table th.tinytable_css_idkclku1uxm702zeojuo79 { text-align: center; }
.table td.tinytable_css_idlfnxskcmbgpspv446f36, .table th.tinytable_css_idlfnxskcmbgpspv446f36 { border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idiwwsjs0ib052askf0kwy, .table th.tinytable_css_idiwwsjs0ib052askf0kwy { border-bottom: solid 0.05em black; text-align: center; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_efbru1hgzg7vdbqpwguq" style="width: auto; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Linear regression estimates. DV: Committee appointment. Standard errors in parentheses.\label{tab:regtab_deltapolicy_COM_LPM}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                       </td>
                  <td>-0.115***</td>
                  <td>-0.006     </td>
                  <td>-0.004     </td>
                  <td>-0.002     </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.015)  </td>
                  <td>(0.016)    </td>
                  <td>(0.016)    </td>
                  <td>(0.016)    </td>
                </tr>
                <tr>
                  <td>Opposition                                     </td>
                  <td>-0.098***</td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.011)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Insider $\times$ $\Delta_{\text{policy}}$   </td>
                  <td>0.008    </td>
                  <td>0.001      </td>
                  <td>0.003      </td>
                  <td>0.004      </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.009)  </td>
                  <td>(0.010)    </td>
                  <td>(0.009)    </td>
                  <td>(0.009)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$  </td>
                  <td>0.034**  </td>
                  <td>0.032*     </td>
                  <td>0.034**    </td>
                  <td>0.035**    </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.013)  </td>
                  <td>(0.013)    </td>
                  <td>(0.012)    </td>
                  <td>(0.012)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$</td>
                  <td>-0.009   </td>
                  <td>-0.005     </td>
                  <td>-0.004     </td>
                  <td>-0.004     </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.006)  </td>
                  <td>(0.006)    </td>
                  <td>(0.006)    </td>
                  <td>(0.006)    </td>
                </tr>
                <tr>
                  <td>Intercept                                      </td>
                  <td>0.413*** </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.009)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                     </td>
                  <td>         </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                   </td>
                  <td>         </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                    </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE      </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Num.Obs.                                       </td>
                  <td>9742     </td>
                  <td>9742       </td>
                  <td>9742       </td>
                  <td>9742       </td>
                </tr>
                <tr>
                  <td>R2                                             </td>
                  <td>0.010    </td>
                  <td>0.278      </td>
                  <td>0.325      </td>
                  <td>0.331      </td>
                </tr>
                <tr>
                  <td>R2 Adj.                                        </td>
                  <td>0.010    </td>
                  <td>0.245      </td>
                  <td>0.292      </td>
                  <td>0.293      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA7.txt&quot;), overwrite = T)
      rm(regtab, FE_add, models_policy_COM_LPM)

      # Generate Figure A4
      pdat = plot_slopes(mCOM.policyFEcabpartycom_term_LPM, variables = &quot;delta_policy&quot;, by = &quot;oppoutin&quot;, draw = F)
      pdat$oppoutin = case_match(pdat$oppoutin,
                                 &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                 &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                 &quot;insider&quot; ~ &quot;Insider&quot;)
      ggplot(pdat, aes(x = oppoutin, ydist = dist_normal(estimate, std.error))) +
        geom_hline(yintercept = 0, linetype = 2) +
        stat_eye(fill = &quot;grey80&quot;, .width = c(.90, .95), alpha = 0.5) +
        stat_eye(fill = NA, .width = c(.90, .95)) +

        theme_bw() +
        labs(x = &quot;Party status&quot;, y = TeX(&quot;Effect of misalignment ($\\Delta_{policy}$) on committee membership&quot;))</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA4.pdf&quot;), width = 6.5, height = 4)

    ### Rapporteur assignment ----
      # Fit models
      mRAP.policyagreeFE1_LPM = feols(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          1
        ,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFE1_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: appointed
## Observations: 61,925
## Standard-errors: IID 
##                                                  Estimate Std. Error   t value
## (Intercept)                                      0.007278   0.002502  2.908654
## member_pct                                       0.030365   0.000816 37.214568
## oppoutinopposition                               0.015526   0.002802  5.541641
## oppoutinoutsider                                 0.003022   0.003663  0.825070
## delta_policy                                    -0.002960   0.001769 -1.673256
## billdisagree_wo                                  0.015859   0.010201  1.554610
## oppoutinopposition:delta_policy                 -0.003454   0.002721 -1.269609
## oppoutinoutsider:delta_policy                   -0.011878   0.004244 -2.798900
## oppoutinopposition:billdisagree_wo               0.014941   0.013373  1.117229
## oppoutinoutsider:billdisagree_wo                 0.045206   0.017861  2.531048
## delta_policy:billdisagree_wo                    -0.002176   0.010021 -0.217122
## oppoutinopposition:delta_policy:billdisagree_wo  0.008444   0.012811  0.659138
## oppoutinoutsider:delta_policy:billdisagree_wo    0.086701   0.021876  3.963314
##                                                   Pr(&gt;|t|)    
## (Intercept)                                     3.6312e-03 ** 
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              3.0087e-08 ***
## oppoutinoutsider                                4.0934e-01    
## delta_policy                                    9.4282e-02 .  
## billdisagree_wo                                 1.2004e-01    
## oppoutinopposition:delta_policy                 2.0423e-01    
## oppoutinoutsider:delta_policy                   5.1293e-03 ** 
## oppoutinopposition:billdisagree_wo              2.6390e-01    
## oppoutinoutsider:billdisagree_wo                1.1375e-02 *  
## delta_policy:billdisagree_wo                    8.2811e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 5.0981e-01    
## oppoutinoutsider:delta_policy:billdisagree_wo   7.3999e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.251686   Adj. R2: 0.023055</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabparty_LPM = feols(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty
        ,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabparty_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529
## Standard-errors: IID 
##                                                  Estimate Std. Error   t value
## member_pct                                       0.024703   0.001362 18.135832
## oppoutinopposition                               0.004429   0.012387  0.357528
## oppoutinoutsider                                -0.001005   0.004165 -0.241372
## delta_policy                                    -0.002185   0.001920 -1.137828
## billdisagree_wo                                 -0.020000   0.010776 -1.855922
## oppoutinopposition:delta_policy                 -0.004302   0.003006 -1.431060
## oppoutinoutsider:delta_policy                   -0.007207   0.004430 -1.627115
## oppoutinopposition:billdisagree_wo              -0.016482   0.014503 -1.136519
## oppoutinoutsider:billdisagree_wo                 0.048710   0.018318  2.659164
## delta_policy:billdisagree_wo                    -0.003814   0.010058 -0.379221
## oppoutinopposition:delta_policy:billdisagree_wo  0.030864   0.012959  2.381696
## oppoutinoutsider:delta_policy:billdisagree_wo    0.095866   0.022150  4.328025
##                                                   Pr(&gt;|t|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              7.2070e-01    
## oppoutinoutsider                                8.0927e-01    
## delta_policy                                    2.5520e-01    
## billdisagree_wo                                 6.3469e-02 .  
## oppoutinopposition:delta_policy                 1.5242e-01    
## oppoutinoutsider:delta_policy                   1.0372e-01    
## oppoutinopposition:billdisagree_wo              2.5574e-01    
## oppoutinoutsider:billdisagree_wo                7.8355e-03 ** 
## delta_policy:billdisagree_wo                    7.0452e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 1.7236e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   1.5069e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.242168     Adj. R2: 0.087767
##                  Within R2: 0.006299</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabpartycom_LPM = feols(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty +
          title_short
        ,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529,  title_short: 20
## Standard-errors: IID 
##                                                  Estimate Std. Error   t value
## member_pct                                       0.021277   0.001529 13.915878
## oppoutinopposition                               0.004307   0.012388  0.347668
## oppoutinoutsider                                -0.002153   0.004211 -0.511293
## delta_policy                                    -0.002014   0.001935 -1.040903
## billdisagree_wo                                 -0.020377   0.010834 -1.880857
## oppoutinopposition:delta_policy                 -0.003616   0.003030 -1.193677
## oppoutinoutsider:delta_policy                   -0.007018   0.004448 -1.577942
## oppoutinopposition:billdisagree_wo              -0.015650   0.014506 -1.078865
## oppoutinoutsider:billdisagree_wo                 0.049307   0.018342  2.688187
## delta_policy:billdisagree_wo                    -0.004403   0.010068 -0.437290
## oppoutinopposition:delta_policy:billdisagree_wo  0.032009   0.012966  2.468646
## oppoutinoutsider:delta_policy:billdisagree_wo    0.096171   0.022181  4.335683
##                                                   Pr(&gt;|t|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              7.2809e-01    
## oppoutinoutsider                                6.0915e-01    
## delta_policy                                    2.9792e-01    
## billdisagree_wo                                 5.9996e-02 .  
## oppoutinopposition:delta_policy                 2.3261e-01    
## oppoutinoutsider:delta_policy                   1.1458e-01    
## oppoutinopposition:billdisagree_wo              2.8065e-01    
## oppoutinoutsider:billdisagree_wo                7.1861e-03 ** 
## delta_policy:billdisagree_wo                    6.6190e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 1.3565e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   1.4554e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.242012     Adj. R2: 0.088662
##                  Within R2: 0.004081</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabpartycom_term_LPM = feols(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_term_LPM)</code></pre>
<pre><code>## OLS estimation, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty^EPterm: 701,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                  Estimate Std. Error   t value
## member_pct                                       0.022179   0.001626 13.643272
## oppoutinopposition                               0.014301   0.014396  0.993356
## oppoutinoutsider                                -0.003725   0.004288 -0.868600
## delta_policy                                    -0.002266   0.001960 -1.156000
## billdisagree_wo                                 -0.020308   0.010884 -1.865931
## oppoutinopposition:delta_policy                 -0.003653   0.003069 -1.190023
## oppoutinoutsider:delta_policy                   -0.005978   0.004499 -1.328626
## oppoutinopposition:billdisagree_wo              -0.013269   0.014550 -0.911964
## oppoutinoutsider:billdisagree_wo                 0.051971   0.018402  2.824241
## delta_policy:billdisagree_wo                    -0.003095   0.010113 -0.306034
## oppoutinopposition:delta_policy:billdisagree_wo  0.029551   0.013010  2.271383
## oppoutinoutsider:delta_policy:billdisagree_wo    0.095680   0.022255  4.299268
##                                                   Pr(&gt;|t|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              3.2054e-01    
## oppoutinoutsider                                3.8507e-01    
## delta_policy                                    2.4769e-01    
## billdisagree_wo                                 6.2056e-02 .  
## oppoutinopposition:delta_policy                 2.3404e-01    
## oppoutinoutsider:delta_policy                   1.8398e-01    
## oppoutinopposition:billdisagree_wo              3.6179e-01    
## oppoutinoutsider:billdisagree_wo                4.7408e-03 ** 
## delta_policy:billdisagree_wo                    7.5958e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 2.3127e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   1.7163e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## RMSE: 0.241056     Adj. R2: 0.092711
##                  Within R2: 0.003968</code></pre>
<pre class="r"><code>      # Generate table A8
      models_policyagree_RAP_LPM = list(mRAP.policyagreeFE1_LPM,
                                        mRAP.policyagreeFEcabparty_LPM,
                                        mRAP.policyagreeFEcabpartycom_LPM,
                                        mRAP.policyagreeFEcabpartycom_term_LPM)

      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;),
                                 ncol = length(models_policyagree_RAP_LPM) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 26 + 1:nrow(FE_add)

      regtab = modelsummary(models_policyagree_RAP_LPM,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|Within&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            width = c(0.4, rep(0.6/length(models_policyagree_RAP_LPM), length(models_policyagree_RAP_LPM))),
                            title = &quot;Linear regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_policyagree_RAP_LPM}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_sdnb6ego10ckw1n5k2j5(i, j, css_id) {
        var table = document.getElementById("tinytable_sdnb6ego10ckw1n5k2j5");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_sdnb6ego10ckw1n5k2j5');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_sdnb6ego10ckw1n5k2j5(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_sdnb6ego10ckw1n5k2j5");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(0, 0, 'tinytable_css_iddnncb0uevsotw19u02t5') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(0, 1, 'tinytable_css_idrfwi8ic9sjnkygi0zack') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(0, 2, 'tinytable_css_idrfwi8ic9sjnkygi0zack') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(0, 3, 'tinytable_css_idrfwi8ic9sjnkygi0zack') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(0, 4, 'tinytable_css_idrfwi8ic9sjnkygi0zack') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(1, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(1, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(1, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(1, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(1, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(2, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(2, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(2, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(2, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(2, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(3, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(3, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(3, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(3, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(3, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(4, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(4, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(4, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(4, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(4, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(5, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(5, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(5, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(5, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(5, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(6, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(6, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(6, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(6, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(6, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(7, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(7, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(7, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(7, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(7, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(8, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(8, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(8, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(8, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(8, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(9, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(9, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(9, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(9, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(9, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(10, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(10, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(10, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(10, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(10, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(11, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(11, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(11, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(11, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(11, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(12, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(12, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(12, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(12, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(12, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(13, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(13, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(13, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(13, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(13, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(14, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(14, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(14, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(14, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(14, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(15, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(15, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(15, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(15, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(15, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(16, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(16, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(16, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(16, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(16, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(17, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(17, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(17, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(17, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(17, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(18, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(18, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(18, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(18, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(18, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(19, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(19, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(19, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(19, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(19, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(20, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(20, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(20, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(20, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(20, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(21, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(21, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(21, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(21, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(21, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(22, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(22, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(22, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(22, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(22, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(23, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(23, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(23, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(23, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(23, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(24, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(24, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(24, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(24, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(24, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(25, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(25, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(25, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(25, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(25, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(26, 0, 'tinytable_css_idxuxlqpg4so0227c6c51i') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(26, 1, 'tinytable_css_idam18kq7ze2b06mh1do3a') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(26, 2, 'tinytable_css_idam18kq7ze2b06mh1do3a') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(26, 3, 'tinytable_css_idam18kq7ze2b06mh1do3a') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(26, 4, 'tinytable_css_idam18kq7ze2b06mh1do3a') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(27, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(27, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(27, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(27, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(27, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(28, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(28, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(28, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(28, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(28, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(29, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(29, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(29, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(29, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(29, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(30, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(30, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(30, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(30, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(30, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(31, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(31, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(31, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(31, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(31, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(32, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(32, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(32, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(32, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(32, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(33, 0, 'tinytable_css_idxpd2yeg9ypibwwtuq75y') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(33, 1, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(33, 2, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(33, 3, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(33, 4, 'tinytable_css_id8leyhzaepg8vdoxqtq12') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(34, 0, 'tinytable_css_idgn96daegom5y0qblpkz3') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(34, 1, 'tinytable_css_idgn96daegom5y0qblpkz3') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(34, 2, 'tinytable_css_idgn96daegom5y0qblpkz3') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(34, 3, 'tinytable_css_idgn96daegom5y0qblpkz3') })
window.addEventListener('load', function () { styleCell_sdnb6ego10ckw1n5k2j5(34, 4, 'tinytable_css_idgn96daegom5y0qblpkz3') })
    </script>

    <style>
.table td.tinytable_css_iddnncb0uevsotw19u02t5, .table th.tinytable_css_iddnncb0uevsotw19u02t5 { width: 40%; text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idrfwi8ic9sjnkygi0zack, .table th.tinytable_css_idrfwi8ic9sjnkygi0zack { width: 15%; text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idxpd2yeg9ypibwwtuq75y, .table th.tinytable_css_idxpd2yeg9ypibwwtuq75y { width: 40%; text-align: left; }
.table td.tinytable_css_id8leyhzaepg8vdoxqtq12, .table th.tinytable_css_id8leyhzaepg8vdoxqtq12 { width: 15%; text-align: center; }
.table td.tinytable_css_idxuxlqpg4so0227c6c51i, .table th.tinytable_css_idxuxlqpg4so0227c6c51i { width: 40%; border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idam18kq7ze2b06mh1do3a, .table th.tinytable_css_idam18kq7ze2b06mh1do3a { width: 15%; border-bottom: solid 0.05em black; text-align: center; }
.table td.tinytable_css_idgn96daegom5y0qblpkz3, .table th.tinytable_css_idgn96daegom5y0qblpkz3 { text-align: left; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_sdnb6ego10ckw1n5k2j5" style="table-layout: fixed; width: 100% !important; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Linear regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_policyagree_RAP_LPM}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                   </td>
                  <td>0.003   </td>
                  <td>-0.001     </td>
                  <td>-0.002     </td>
                  <td>-0.004     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.004) </td>
                  <td>(0.004)    </td>
                  <td>(0.004)    </td>
                  <td>(0.004)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                                 </td>
                  <td>0.016***</td>
                  <td>0.004      </td>
                  <td>0.004      </td>
                  <td>0.014      </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.003) </td>
                  <td>(0.012)    </td>
                  <td>(0.012)    </td>
                  <td>(0.014)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$                                                 </td>
                  <td>-0.003+ </td>
                  <td>-0.002     </td>
                  <td>-0.002     </td>
                  <td>-0.002     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.002) </td>
                  <td>(0.002)    </td>
                  <td>(0.002)    </td>
                  <td>(0.002)    </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                          </td>
                  <td>0.016   </td>
                  <td>-0.020+    </td>
                  <td>-0.020+    </td>
                  <td>-0.020+    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.010) </td>
                  <td>(0.011)    </td>
                  <td>(0.011)    </td>
                  <td>(0.011)    </td>
                </tr>
                <tr>
                  <td>Strength in committee                                                      </td>
                  <td>0.030***</td>
                  <td>0.025***   </td>
                  <td>0.021***   </td>
                  <td>0.022***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.001) </td>
                  <td>(0.001)    </td>
                  <td>(0.002)    </td>
                  <td>(0.002)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$ $\times$  bill disagreement                    </td>
                  <td>-0.002  </td>
                  <td>-0.004     </td>
                  <td>-0.004     </td>
                  <td>-0.003     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.010) </td>
                  <td>(0.010)    </td>
                  <td>(0.010)    </td>
                  <td>(0.010)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$                              </td>
                  <td>-0.012**</td>
                  <td>-0.007     </td>
                  <td>-0.007     </td>
                  <td>-0.006     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.004) </td>
                  <td>(0.004)    </td>
                  <td>(0.004)    </td>
                  <td>(0.004)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$                            </td>
                  <td>-0.003  </td>
                  <td>-0.004     </td>
                  <td>-0.004     </td>
                  <td>-0.004     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.003) </td>
                  <td>(0.003)    </td>
                  <td>(0.003)    </td>
                  <td>(0.003)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                      </td>
                  <td>0.045*  </td>
                  <td>0.049**    </td>
                  <td>0.049**    </td>
                  <td>0.052**    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.018) </td>
                  <td>(0.018)    </td>
                  <td>(0.018)    </td>
                  <td>(0.018)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                    </td>
                  <td>0.015   </td>
                  <td>-0.016     </td>
                  <td>-0.016     </td>
                  <td>-0.013     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.013) </td>
                  <td>(0.015)    </td>
                  <td>(0.015)    </td>
                  <td>(0.015)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement  </td>
                  <td>0.087***</td>
                  <td>0.096***   </td>
                  <td>0.096***   </td>
                  <td>0.096***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.022) </td>
                  <td>(0.022)    </td>
                  <td>(0.022)    </td>
                  <td>(0.022)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement</td>
                  <td>0.008   </td>
                  <td>0.031*     </td>
                  <td>0.032*     </td>
                  <td>0.030*     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.013) </td>
                  <td>(0.013)    </td>
                  <td>(0.013)    </td>
                  <td>(0.013)    </td>
                </tr>
                <tr>
                  <td>Intercept                                                                  </td>
                  <td>0.007** </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.003) </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                                 </td>
                  <td>        </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                                               </td>
                  <td>        </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                                                </td>
                  <td>        </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                                  </td>
                  <td>        </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                   </td>
                  <td>61925   </td>
                  <td>61925      </td>
                  <td>61925      </td>
                  <td>61925      </td>
                </tr>
                <tr>
                  <td>R2                                                                         </td>
                  <td>0.023   </td>
                  <td>0.096      </td>
                  <td>0.097      </td>
                  <td>0.104      </td>
                </tr>
                <tr>
                  <td>R2 Adj.                                                                    </td>
                  <td>0.023   </td>
                  <td>0.088      </td>
                  <td>0.089      </td>
                  <td>0.093      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA8.txt&quot;), overwrite = T)
      rm(regtab, FE_add, models_policyagree_RAP_LPM)

      # Generate Figure A5
      pdat = plot_slopes(mRAP.policyagreeFEcabpartycom_term_LPM, variables = &quot;delta_policy&quot;, condition = list(&quot;billdisagree_wo&quot;, &quot;oppoutin&quot;), draw = F)
      pdat$oppoutin = case_match(pdat$oppoutin,
                                 &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                 &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                 &quot;insider&quot; ~ &quot;Insider&quot;)

      ggplot(pdat, aes(x = billdisagree_wo, y = estimate, ymin = conf.low, ymax = conf.high)) +
        geom_rug(inherit.aes = F,
                 data = d_RAP %&gt;% dplyr::select(billdisagree_wo,oppoutin) %&gt;%
                   mutate(oppoutin = case_match(oppoutin,
                                                &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                                &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                                &quot;insider&quot; ~ &quot;Insider&quot;)),
                 mapping = aes(x = billdisagree_wo),
                 alpha = 0.3) +
        facet_wrap(~oppoutin)+
        geom_ribbon(linetype = 2, color = &quot;grey20&quot;, fill = &quot;grey80&quot;, alpha = 0.5) +
        geom_line() +
        theme_bw() +
        theme(strip.background = element_blank(),
              strip.text = element_text(size = 11)) +
        labs(x = &quot;Bill disagreement&quot;,
             y = TeX(&quot;Effect of misalignment ($\\Delta_{policy}$) on rapporteur assignment&quot;),
        )</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA5.pdf&quot;), width = 6.5, height = 4)

  ## Conditional logit models ----
    ### Committee appointment ----
      # fit model
      d_COM$cabpartyterm = paste0(d_COM$cabparty, &quot;-&quot;, d_COM$EPterm)
      mCOM.policyFEcabpartyterm_clogit = clogit(
        member ~ oppoutin + oppoutin:delta_policy +
          strata(cabpartyterm),
        data = d_COM)
      summary(mCOM.policyFEcabpartyterm_clogit)</code></pre>
<pre><code>## Call:
## coxph(formula = Surv(rep(1, 9742L), member) ~ oppoutin + oppoutin:delta_policy + 
##     strata(cabpartyterm), data = d_COM, method = &quot;exact&quot;)
## 
##   n= 9742, number of events= 3285 
## 
##                                     coef exp(coef) se(coef)      z Pr(&gt;|z|)  
## oppoutinopposition                    NA        NA  0.00000     NA       NA  
## oppoutinoutsider                -0.04245   0.95844  0.09506 -0.447   0.6552  
## oppoutininsider:delta_policy     0.00873   1.00877  0.05534  0.158   0.8747  
## oppoutinopposition:delta_policy -0.02299   0.97727  0.03907 -0.588   0.5562  
## oppoutinoutsider:delta_policy    0.18570   1.20406  0.07505  2.474   0.0133 *
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
##                                 exp(coef) exp(-coef) lower .95 upper .95
## oppoutinopposition                     NA         NA        NA        NA
## oppoutinoutsider                   0.9584     1.0434    0.7955     1.155
## oppoutininsider:delta_policy       1.0088     0.9913    0.9051     1.124
## oppoutinopposition:delta_policy    0.9773     1.0233    0.9052     1.055
## oppoutinoutsider:delta_policy      1.2041     0.8305    1.0394     1.395
## 
## Concordance= 0.517  (se = 0.008 )
## Likelihood ratio test= 6.71  on 4 df,   p=0.2
## Wald test            = 6.63  on 4 df,   p=0.2
## Score (logrank) test = 6.69  on 4 df,   p=0.2</code></pre>
<pre class="r"><code>      # Generate table A9
      models_policy_COM_clogit = list(mCOM.policyFEcabpartyterm_clogit)
      FE_add = data.frame(matrix(c(&quot;Log. Lik.&quot;, round(unlist(lapply(models_policy_COM_clogit, logLik)), 3)),
                                 ncol = length(models_policy_COM_clogit) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 8 + 1:nrow(FE_add)

      regtab = modelsummary(models_policy_COM_clogit,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            title = &quot;Conditional logistic regression estimates. Replication of model 4. DV: Committee appointment. Standard errors in parentheses.\\label{tab:regtab_policy_COM_clogit}&quot;)
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_g0np44itc7tb8ocerha7(i, j, css_id) {
        var table = document.getElementById("tinytable_g0np44itc7tb8ocerha7");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_g0np44itc7tb8ocerha7');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_g0np44itc7tb8ocerha7(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_g0np44itc7tb8ocerha7");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(0, 0, 'tinytable_css_idk1gd52jibtoph8hweqnt') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(0, 1, 'tinytable_css_idfxgfxlp04ibb4gr3fij9') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(1, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(1, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(2, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(2, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(3, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(3, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(4, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(4, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(5, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(5, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(6, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(6, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(7, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(7, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(8, 0, 'tinytable_css_idy0ygf8capi5v9vbqqn1o') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(8, 1, 'tinytable_css_idyxu7ay91q0jlb1twb4zp') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(9, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(9, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(10, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(10, 1, 'tinytable_css_idsumfxde4ng6p9zvpqvf6') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(11, 0, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
window.addEventListener('load', function () { styleCell_g0np44itc7tb8ocerha7(11, 1, 'tinytable_css_id1y4y9tjy7lmintcsmegb') })
    </script>

    <style>
.table td.tinytable_css_idk1gd52jibtoph8hweqnt, .table th.tinytable_css_idk1gd52jibtoph8hweqnt { text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idfxgfxlp04ibb4gr3fij9, .table th.tinytable_css_idfxgfxlp04ibb4gr3fij9 { text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_id1y4y9tjy7lmintcsmegb, .table th.tinytable_css_id1y4y9tjy7lmintcsmegb { text-align: left; }
.table td.tinytable_css_idsumfxde4ng6p9zvpqvf6, .table th.tinytable_css_idsumfxde4ng6p9zvpqvf6 { text-align: center; }
.table td.tinytable_css_idy0ygf8capi5v9vbqqn1o, .table th.tinytable_css_idy0ygf8capi5v9vbqqn1o { border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idyxu7ay91q0jlb1twb4zp, .table th.tinytable_css_idyxu7ay91q0jlb1twb4zp { border-bottom: solid 0.05em black; text-align: center; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_g0np44itc7tb8ocerha7" style="width: auto; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Conditional logistic regression estimates. Replication of model 4. DV: Committee appointment. Standard errors in parentheses.\label{tab:regtab_policy_COM_clogit}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="2">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                       </td>
                  <td>-0.042 </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.095)</td>
                </tr>
                <tr>
                  <td>Insider $\times$ $\Delta_{\text{policy}}$   </td>
                  <td>0.009  </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.055)</td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$  </td>
                  <td>0.186* </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.075)</td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$</td>
                  <td>-0.023 </td>
                </tr>
                <tr>
                  <td>                                               </td>
                  <td>(0.039)</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                      </td>
                  <td>-4126.8</td>
                </tr>
                <tr>
                  <td>Num.Obs.                                       </td>
                  <td>9742   </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA9.txt&quot;), overwrite = T)
      rm(regtab, models_policyagree_RAP_clogit, FE_add)</code></pre>
<pre><code>## Warning in rm(regtab, models_policyagree_RAP_clogit, FE_add): object
## &#39;models_policyagree_RAP_clogit&#39; not found</code></pre>
<pre class="r"><code>    ### Rapporteur assignment ----
      # fit model
      d_RAP$cabpartyterm = paste0(d_RAP$cabparty, &quot;-&quot;, d_RAP$EPterm)
      mRAP.policyagreeFEcabpartyterm_clogit &lt;- clogit(
        appointed ~ oppoutin*delta_policy*billdisagree_wo +
          member_pct +
          strata(cabpartyterm),
        method = &quot;efron&quot;,
        data = d_RAP
      )
      summary(mRAP.policyagreeFEcabpartyterm_clogit)</code></pre>
<pre><code>## Call:
## coxph(formula = Surv(rep(1, 61925L), appointed) ~ oppoutin * 
##     delta_policy * billdisagree_wo + member_pct + strata(cabpartyterm), 
##     data = d_RAP, method = &quot;efron&quot;)
## 
##   n= 61925, number of events= 4317 
## 
##                                                     coef exp(coef) se(coef)
## oppoutinopposition                               0.28403   1.32848  0.26686
## oppoutinoutsider                                -0.01775   0.98240  0.06522
## delta_policy                                    -0.03548   0.96514  0.03184
## billdisagree_wo                                 -0.33014   0.71882  0.17819
## member_pct                                       0.23537   1.26537  0.01652
## oppoutinopposition:delta_policy                 -0.07474   0.92798  0.04807
## oppoutinoutsider:delta_policy                   -0.10284   0.90227  0.07446
## oppoutinopposition:billdisagree_wo              -0.19422   0.82348  0.23515
## oppoutinoutsider:billdisagree_wo                 0.65820   1.93132  0.26771
## delta_policy:billdisagree_wo                    -0.03374   0.96682  0.16050
## oppoutinopposition:delta_policy:billdisagree_wo  0.46858   1.59772  0.20410
## oppoutinoutsider:delta_policy:billdisagree_wo    1.24405   3.46962  0.31638
##                                                      z Pr(&gt;|z|)    
## oppoutinopposition                               1.064   0.2872    
## oppoutinoutsider                                -0.272   0.7854    
## delta_policy                                    -1.114   0.2651    
## billdisagree_wo                                 -1.853   0.0639 .  
## member_pct                                      14.251  &lt; 2e-16 ***
## oppoutinopposition:delta_policy                 -1.555   0.1200    
## oppoutinoutsider:delta_policy                   -1.381   0.1672    
## oppoutinopposition:billdisagree_wo              -0.826   0.4088    
## oppoutinoutsider:billdisagree_wo                 2.459   0.0139 *  
## delta_policy:billdisagree_wo                    -0.210   0.8335    
## oppoutinopposition:delta_policy:billdisagree_wo  2.296   0.0217 *  
## oppoutinoutsider:delta_policy:billdisagree_wo    3.932 8.42e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
##                                                 exp(coef) exp(-coef) lower .95
## oppoutinopposition                                 1.3285     0.7527    0.7874
## oppoutinoutsider                                   0.9824     1.0179    0.8645
## delta_policy                                       0.9651     1.0361    0.9068
## billdisagree_wo                                    0.7188     1.3912    0.5069
## member_pct                                         1.2654     0.7903    1.2251
## oppoutinopposition:delta_policy                    0.9280     1.0776    0.8445
## oppoutinoutsider:delta_policy                      0.9023     1.1083    0.7798
## oppoutinopposition:billdisagree_wo                 0.8235     1.2144    0.5194
## oppoutinoutsider:billdisagree_wo                   1.9313     0.5178    1.1428
## delta_policy:billdisagree_wo                       0.9668     1.0343    0.7059
## oppoutinopposition:delta_policy:billdisagree_wo    1.5977     0.6259    1.0710
## oppoutinoutsider:delta_policy:billdisagree_wo      3.4696     0.2882    1.8663
##                                                 upper .95
## oppoutinopposition                                  2.241
## oppoutinoutsider                                    1.116
## delta_policy                                        1.027
## billdisagree_wo                                     1.019
## member_pct                                          1.307
## oppoutinopposition:delta_policy                     1.020
## oppoutinoutsider:delta_policy                       1.044
## oppoutinopposition:billdisagree_wo                  1.306
## oppoutinoutsider:billdisagree_wo                    3.264
## delta_policy:billdisagree_wo                        1.324
## oppoutinopposition:delta_policy:billdisagree_wo     2.384
## oppoutinoutsider:delta_policy:billdisagree_wo       6.450
## 
## Concordance= 0.584  (se = 0.006 )
## Likelihood ratio test= 253.3  on 12 df,   p=&lt;2e-16
## Wald test            = 261.5  on 12 df,   p=&lt;2e-16
## Score (logrank) test = 267  on 12 df,   p=&lt;2e-16</code></pre>
<pre class="r"><code>      # Generate table A10
      models_policyagree_RAP_clogit = list(mRAP.policyagreeFEcabpartyterm_clogit)
      FE_add = data.frame(matrix(c(&quot;Log. Lik.&quot;, round(unlist(lapply(models_policyagree_RAP_clogit, logLik)), 3)),
                                 ncol = length(models_policyagree_RAP_clogit) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 24 + 1:nrow(FE_add)

      regtab = modelsummary(models_policyagree_RAP_clogit,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            title = &quot;Conditional logistic regression estimates. Replication of model A4. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_policyagree_RAP_clogit}&quot;)
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_rzdajatdtx2c2hxvsuks(i, j, css_id) {
        var table = document.getElementById("tinytable_rzdajatdtx2c2hxvsuks");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_rzdajatdtx2c2hxvsuks');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_rzdajatdtx2c2hxvsuks(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_rzdajatdtx2c2hxvsuks");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(0, 0, 'tinytable_css_idb91geb3igwq9b6jq9jtm') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(0, 1, 'tinytable_css_ido239l04m9yofkzcbotro') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(1, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(1, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(2, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(2, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(3, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(3, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(4, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(4, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(5, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(5, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(6, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(6, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(7, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(7, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(8, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(8, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(9, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(9, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(10, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(10, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(11, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(11, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(12, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(12, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(13, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(13, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(14, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(14, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(15, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(15, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(16, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(16, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(17, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(17, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(18, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(18, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(19, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(19, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(20, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(20, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(21, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(21, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(22, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(22, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(23, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(23, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(24, 0, 'tinytable_css_idsiyvfrb2mqhy34ud3z3y') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(24, 1, 'tinytable_css_idkzpdcjb0b2wezqdi07wn') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(25, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(25, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(26, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(26, 1, 'tinytable_css_idckj1wcrwzuwts3sz1p0l') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(27, 0, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
window.addEventListener('load', function () { styleCell_rzdajatdtx2c2hxvsuks(27, 1, 'tinytable_css_idnklugnpynvkvnk86uq4g') })
    </script>

    <style>
.table td.tinytable_css_idb91geb3igwq9b6jq9jtm, .table th.tinytable_css_idb91geb3igwq9b6jq9jtm { text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_ido239l04m9yofkzcbotro, .table th.tinytable_css_ido239l04m9yofkzcbotro { text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idnklugnpynvkvnk86uq4g, .table th.tinytable_css_idnklugnpynvkvnk86uq4g { text-align: left; }
.table td.tinytable_css_idckj1wcrwzuwts3sz1p0l, .table th.tinytable_css_idckj1wcrwzuwts3sz1p0l { text-align: center; }
.table td.tinytable_css_idsiyvfrb2mqhy34ud3z3y, .table th.tinytable_css_idsiyvfrb2mqhy34ud3z3y { border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idkzpdcjb0b2wezqdi07wn, .table th.tinytable_css_idkzpdcjb0b2wezqdi07wn { border-bottom: solid 0.05em black; text-align: center; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_rzdajatdtx2c2hxvsuks" style="width: auto; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Conditional logistic regression estimates. Replication of model A4. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_policyagree_RAP_clogit}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="2">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                   </td>
                  <td>-0.018    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.065)   </td>
                </tr>
                <tr>
                  <td>Opposition                                                                 </td>
                  <td>0.284     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.267)   </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$                                                 </td>
                  <td>-0.035    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.032)   </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                          </td>
                  <td>-0.330+   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.178)   </td>
                </tr>
                <tr>
                  <td>Strength in committee                                                      </td>
                  <td>0.235***  </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.017)   </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$ $\times$  bill disagreement                    </td>
                  <td>-0.034    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.160)   </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$                              </td>
                  <td>-0.103    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.074)   </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$                            </td>
                  <td>-0.075    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.048)   </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                      </td>
                  <td>0.658*    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.268)   </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                    </td>
                  <td>-0.194    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.235)   </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement  </td>
                  <td>1.244***  </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.316)   </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement</td>
                  <td>0.469*    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.204)   </td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                                  </td>
                  <td>-22589.573</td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                   </td>
                  <td>61925     </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA10.txt&quot;), overwrite = T)
      rm(regtab, models_policyagree_RAP_clogit, FE_add)

  ## Multiplicative interaction robustness ----
    ### Committee appointment ----
      # prep to accommodate the necessary package requirements
      d_COM_interaction = d_COM
      d_COM_interaction = d_COM_interaction %&gt;%
        mutate(oppoutin = factor(oppoutin),
               party_id_fac = factor(paste0(EPterm , &quot;-&quot;, cabparty)),
               title_short_fac = factor(paste0(EPterm, &quot;-&quot;, title_short)))

      # fit
      p2 = interflex(estimator = &quot;binning&quot;,
                     D = &quot;outsider&quot;,
                     X = &quot;delta_policy&quot;,
                     Y = &quot;member&quot;,
                     data = d_COM_interaction,
                     FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                     nbins = 2,
                     na.rm = T)</code></pre>
<pre><code>## Baseline group not specified; choose treat = 0 as the baseline group.</code></pre>
<pre class="r"><code>      p3 = interflex(estimator = &quot;binning&quot;,
                     D = &quot;outsider&quot;,
                     X = &quot;delta_policy&quot;,
                     Y = &quot;member&quot;,
                     data = d_COM_interaction,
                     FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                     nbins = 3,
                     na.rm = T)</code></pre>
<pre><code>## Baseline group not specified; choose treat = 0 as the baseline group.</code></pre>
<pre class="r"><code>      p4 = interflex(estimator = &quot;binning&quot;,
                     D = &quot;outsider&quot;,
                     X = &quot;delta_policy&quot;,
                     Y = &quot;member&quot;,
                     data = d_COM_interaction,
                     FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                     nbins = 4,
                     na.rm = T)</code></pre>
<pre><code>## Baseline group not specified; choose treat = 0 as the baseline group.</code></pre>
<pre class="r"><code>      set.seed(111)
      pkernel = interflex(estimator = &quot;kernel&quot;,
                          D = &quot;outsider&quot;,
                          X = &quot;delta_policy&quot;,
                          Y = &quot;member&quot;,
                          data = d_COM_interaction,
                          FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                          na.rm = T)</code></pre>
<pre><code>## Baseline group not specified; choose treat = 0 as the baseline group. 
## Cross-validating bandwidth ... 
## Parallel computing with 4 cores...
## Optimal bw=0.702.
## Number of evaluation points:50
## Parallel computing with 4 cores...
## </code></pre>
<pre class="r"><code>      # Generate Figure A6
      cowplot::plot_grid(p2$figure, p3$figure, p4$figure, pkernel$figure)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA6.pdf&quot;), width = 13, height = 13)

    ### Rapporteur assignment ----
      # prep to accommodate the necessary package requirements
      d_RAP_interaction = d_RAP
      d_RAP_interaction = d_RAP_interaction %&gt;%
        mutate(oppoutin = factor(oppoutin),
               outsider = factor(outsider),
               party_id_fac = factor(paste0(cabparty, &quot;-&quot;, EPterm)),
               title_short_fac = factor(paste0(title_short, &quot;-&quot;, EPterm)))

      # fit
      p2 = interflex(estimator = &quot;binning&quot;,
                     D = &quot;delta_policy&quot;,
                     X = &quot;billdisagree_wo&quot;,
                     Y = &quot;appointed&quot;,
                     Z = &quot;member_pct&quot;,
                     data = d_RAP_interaction %&gt;% filter(oppoutin == &quot;outsider&quot; &amp; !is.na(billdisagree_wo)),
                     FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                     nbins = 2,
                     na.rm = F)
      p3 = interflex(estimator = &quot;binning&quot;,
                     D = &quot;delta_policy&quot;,
                     X = &quot;billdisagree_wo&quot;,
                     Y = &quot;appointed&quot;,
                     Z = &quot;member_pct&quot;,
                     data = d_RAP_interaction %&gt;% filter(oppoutin == &quot;outsider&quot; &amp; !is.na(billdisagree_wo)),
                     FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                     nbins = 4,
                     na.rm = F)
      p4 = interflex(estimator = &quot;binning&quot;,
                     D = &quot;delta_policy&quot;,
                     X = &quot;billdisagree_wo&quot;,
                     Y = &quot;appointed&quot;,
                     Z = &quot;member_pct&quot;,
                     data = d_RAP_interaction %&gt;% filter(oppoutin == &quot;outsider&quot; &amp; !is.na(billdisagree_wo)),
                     FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                     nbins = 5,
                     na.rm = F)
      pkernel = interflex(estimator = &quot;kernel&quot;,
                          D = &quot;delta_policy&quot;,
                          X = &quot;billdisagree_wo&quot;,
                          Y = &quot;appointed&quot;,
                          Z = &quot;member_pct&quot;,
                          data = d_RAP_interaction %&gt;% filter(oppoutin == &quot;outsider&quot; &amp; !is.na(billdisagree_wo)),
                          FE = c(&quot;party_id_fac&quot;, &quot;title_short_fac&quot;),
                          na.rm = F)</code></pre>
<pre><code>## Cross-validating bandwidth ... 
## Parallel computing with 4 cores...
## Optimal bw=0.5094.
## Number of evaluation points:50
## Parallel computing with 4 cores...
## </code></pre>
<pre class="r"><code>      # Generate Figure A7
      cowplot::plot_grid(p2$figure, p3$figure, p4$figure, pkernel$figure)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA7.pdf&quot;), width = 13, height = 13)

  ## RILE positions ----
    ### Committee appointment ----
      # Fit models
      mCOM.rileFE1 = feglm(
        member ~
          oppoutin + oppoutin:delta_lr
        |
          1,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )
      summary(mCOM.rileFE1)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Standard-errors: IID 
##                              Estimate Std. Error  z value   Pr(&gt;|z|)    
## (Intercept)                 -0.371474   0.041166 -9.02372  &lt; 2.2e-16 ***
## oppoutinopposition          -0.421211   0.050390 -8.35906  &lt; 2.2e-16 ***
## oppoutinoutsider            -0.488592   0.070307 -6.94942 3.6680e-12 ***
## oppoutininsider:delta_lr     0.151231   0.038583  3.91965 8.8679e-05 ***
## oppoutinopposition:delta_lr  0.059346   0.029890  1.98545 4.7094e-02 *  
## oppoutinoutsider:delta_lr    0.145971   0.054227  2.69183 7.1060e-03 ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -6,169.0   Adj. Pseudo R2: 0.00846 
##            BIC: 12,393.2     Squared Cor.: 0.012247</code></pre>
<pre class="r"><code>      mCOM.rileFEparty = feglm(
        member ~
          oppoutin + oppoutin:delta_lr
        |
          party_id,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )
      summary(mCOM.rileFEparty)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: party_id: 179
## Standard-errors: IID 
##                              Estimate Std. Error   z value Pr(&gt;|z|)    
## oppoutinopposition          -0.077589   0.080998 -0.957911 0.338108    
## oppoutinoutsider            -0.044483   0.087107 -0.510674 0.609579    
## oppoutininsider:delta_lr    -0.056161   0.053807 -1.043760 0.296596    
## oppoutinopposition:delta_lr  0.087538   0.050138  1.745952 0.080819 .  
## oppoutinoutsider:delta_lr    0.065130   0.071943  0.905292 0.365311    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -5,027.4   Adj. Pseudo R2: 0.163214
##            BIC: 11,744.7     Squared Cor.: 0.238941</code></pre>
<pre class="r"><code>      mCOM.rileFEpartycom = feglm(
        member ~
          oppoutin + oppoutin:delta_lr
        |
          party_id + title_short,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )
      summary(mCOM.rileFEpartycom)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: party_id: 179,  title_short: 24
## Standard-errors: IID 
##                              Estimate Std. Error   z value Pr(&gt;|z|)    
## oppoutinopposition          -0.076755   0.083980 -0.913968 0.360734    
## oppoutinoutsider            -0.035355   0.090628 -0.390113 0.696453    
## oppoutininsider:delta_lr    -0.063044   0.055682 -1.132213 0.257545    
## oppoutinopposition:delta_lr  0.097705   0.052004  1.878775 0.060275 .  
## oppoutinoutsider:delta_lr    0.080739   0.074981  1.076790 0.281574    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,727.1   Adj. Pseudo R2: 0.207756
##            BIC: 11,355.3     Squared Cor.: 0.292392</code></pre>
<pre class="r"><code>      mCOM.rileFEpartycom_term = feglm(
        member ~
          oppoutin + oppoutin:delta_lr
        |
          party_id + title_short^EPterm,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )
      summary(mCOM.rileFEpartycom_term)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,742
## Fixed-effects: party_id: 179,  title_short^EPterm: 90
## Standard-errors: IID 
##                              Estimate Std. Error   z value Pr(&gt;|z|)    
## oppoutinopposition          -0.065295   0.085005 -0.768125 0.442413    
## oppoutinoutsider            -0.012815   0.092747 -0.138175 0.890102    
## oppoutininsider:delta_lr    -0.043610   0.056810 -0.767646 0.442698    
## oppoutinopposition:delta_lr  0.099574   0.052546  1.894982 0.058095 .  
## oppoutinoutsider:delta_lr    0.101298   0.076224  1.328951 0.183864    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,691.5   Adj. Pseudo R2: 0.202873
##            BIC: 11,890.2     Squared Cor.: 0.298865</code></pre>
<pre class="r"><code>      # Generate table A11
      models_rile_COM = list(mCOM.rileFE1,
                             mCOM.rileFEparty,
                             mCOM.rileFEpartycom,
                             mCOM.rileFEpartycom_term)
      FE_add = data.frame(matrix(c(&quot;Party FE&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Log. Lik.&quot;, round(unlist(lapply(models_rile_COM, logLik)), 3)),
                                 ncol = length(models_rile_COM) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 12 + 1:nrow(FE_add)

      regtab = modelsummary(models_rile_COM,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            title = &quot;Binary logistic regression estimates. DV: Committee appointment. Standard errors in parentheses.\\label{tab:regtab_deltarile_COM}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_5x319mpkrm40umvs5w03(i, j, css_id) {
        var table = document.getElementById("tinytable_5x319mpkrm40umvs5w03");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_5x319mpkrm40umvs5w03');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_5x319mpkrm40umvs5w03(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_5x319mpkrm40umvs5w03");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(0, 0, 'tinytable_css_idaba56hsyes5xth230fqq') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(0, 1, 'tinytable_css_id7z46hjgmgs2zw0jone86') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(0, 2, 'tinytable_css_id7z46hjgmgs2zw0jone86') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(0, 3, 'tinytable_css_id7z46hjgmgs2zw0jone86') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(0, 4, 'tinytable_css_id7z46hjgmgs2zw0jone86') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(1, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(1, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(1, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(1, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(1, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(2, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(2, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(2, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(2, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(2, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(3, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(3, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(3, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(3, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(3, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(4, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(4, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(4, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(4, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(4, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(5, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(5, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(5, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(5, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(5, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(6, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(6, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(6, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(6, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(6, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(7, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(7, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(7, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(7, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(7, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(8, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(8, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(8, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(8, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(8, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(9, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(9, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(9, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(9, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(9, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(10, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(10, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(10, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(10, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(10, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(11, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(11, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(11, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(11, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(11, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(12, 0, 'tinytable_css_id5c0yabbp28p6n62wgzyc') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(12, 1, 'tinytable_css_idz5v13oehb9i9wu5bibu3') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(12, 2, 'tinytable_css_idz5v13oehb9i9wu5bibu3') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(12, 3, 'tinytable_css_idz5v13oehb9i9wu5bibu3') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(12, 4, 'tinytable_css_idz5v13oehb9i9wu5bibu3') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(13, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(13, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(13, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(13, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(13, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(14, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(14, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(14, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(14, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(14, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(15, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(15, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(15, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(15, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(15, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(16, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(16, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(16, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(16, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(16, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(17, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(17, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(17, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(17, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(17, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(18, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(18, 1, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(18, 2, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(18, 3, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(18, 4, 'tinytable_css_id24wskttfb44zhhmupf66') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(19, 0, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(19, 1, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(19, 2, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(19, 3, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
window.addEventListener('load', function () { styleCell_5x319mpkrm40umvs5w03(19, 4, 'tinytable_css_idfsk6alxevesq63oyt0zi') })
    </script>

    <style>
.table td.tinytable_css_idaba56hsyes5xth230fqq, .table th.tinytable_css_idaba56hsyes5xth230fqq { text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_id7z46hjgmgs2zw0jone86, .table th.tinytable_css_id7z46hjgmgs2zw0jone86 { text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idfsk6alxevesq63oyt0zi, .table th.tinytable_css_idfsk6alxevesq63oyt0zi { text-align: left; }
.table td.tinytable_css_id24wskttfb44zhhmupf66, .table th.tinytable_css_id24wskttfb44zhhmupf66 { text-align: center; }
.table td.tinytable_css_id5c0yabbp28p6n62wgzyc, .table th.tinytable_css_id5c0yabbp28p6n62wgzyc { border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idz5v13oehb9i9wu5bibu3, .table th.tinytable_css_idz5v13oehb9i9wu5bibu3 { border-bottom: solid 0.05em black; text-align: center; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_5x319mpkrm40umvs5w03" style="width: auto; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Committee appointment. Standard errors in parentheses.\label{tab:regtab_deltarile_COM}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                     </td>
                  <td>-0.489***</td>
                  <td>-0.044     </td>
                  <td>-0.035     </td>
                  <td>-0.013     </td>
                </tr>
                <tr>
                  <td>                                             </td>
                  <td>(0.070)  </td>
                  <td>(0.087)    </td>
                  <td>(0.091)    </td>
                  <td>(0.093)    </td>
                </tr>
                <tr>
                  <td>Opposition                                   </td>
                  <td>-0.421***</td>
                  <td>-0.078     </td>
                  <td>-0.077     </td>
                  <td>-0.065     </td>
                </tr>
                <tr>
                  <td>                                             </td>
                  <td>(0.050)  </td>
                  <td>(0.081)    </td>
                  <td>(0.084)    </td>
                  <td>(0.085)    </td>
                </tr>
                <tr>
                  <td>Insider $\times$ $\Delta_{\text{rile}}$   </td>
                  <td>0.151*** </td>
                  <td>-0.056     </td>
                  <td>-0.063     </td>
                  <td>-0.044     </td>
                </tr>
                <tr>
                  <td>                                             </td>
                  <td>(0.039)  </td>
                  <td>(0.054)    </td>
                  <td>(0.056)    </td>
                  <td>(0.057)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{rile}}$  </td>
                  <td>0.146**  </td>
                  <td>0.065      </td>
                  <td>0.081      </td>
                  <td>0.101      </td>
                </tr>
                <tr>
                  <td>                                             </td>
                  <td>(0.054)  </td>
                  <td>(0.072)    </td>
                  <td>(0.075)    </td>
                  <td>(0.076)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{rile}}$</td>
                  <td>0.059*   </td>
                  <td>0.088+     </td>
                  <td>0.098+     </td>
                  <td>0.100+     </td>
                </tr>
                <tr>
                  <td>                                             </td>
                  <td>(0.030)  </td>
                  <td>(0.050)    </td>
                  <td>(0.052)    </td>
                  <td>(0.053)    </td>
                </tr>
                <tr>
                  <td>Intercept                                    </td>
                  <td>-0.371***</td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                             </td>
                  <td>(0.041)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party FE                                     </td>
                  <td>         </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                 </td>
                  <td>         </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Term FE                                      </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                  </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                    </td>
                  <td>-6169.023</td>
                  <td>-5027.416  </td>
                  <td>-4727.065  </td>
                  <td>-4691.47   </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                     </td>
                  <td>9742     </td>
                  <td>9742       </td>
                  <td>9742       </td>
                  <td>9742       </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA11.txt&quot;), overwrite = T)
      rm(regtab, FE_add, models_rile_COM)

      # Generate Figure A8
      pdat = plot_slopes(mCOM.rileFEpartycom_term, variables = &quot;delta_lr&quot;, by = &quot;oppoutin&quot;, draw = F)
      pdat</code></pre>
<pre><code>##       term    contrast   oppoutin     estimate   std.error  statistic
## 1 delta_lr mean(dY/dX)    insider -0.007115723 0.009284022 -0.7664483
## 2 delta_lr mean(dY/dX) opposition  0.015408770 0.008139661  1.8930481
## 3 delta_lr mean(dY/dX)   outsider  0.015851125 0.011904256  1.3315512
##      p.value  s.value      conf.low  conf.high predicted_lo predicted_hi
## 1 0.44340959 1.173288 -0.0253120722 0.01108063   0.16160752   0.16160411
## 2 0.05835147 4.099087 -0.0005446726 0.03136221   0.06679896   0.06680254
## 3 0.18300772 2.450024 -0.0074807869 0.03918304   0.21717087   0.21718080
##    predicted
## 1 0.16160582
## 2 0.06680075
## 3 0.21717584</code></pre>
<pre class="r"><code>      pdat$oppoutin = case_match(pdat$oppoutin,
                                 &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                 &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                 &quot;insider&quot; ~ &quot;Insider&quot;)
      ggplot(pdat, aes(x = oppoutin, ydist = dist_normal(estimate, std.error))) +
        geom_hline(yintercept = 0, linetype = 2) +
        stat_eye(fill = &quot;grey60&quot;, .width = c(.90, .95), alpha = 0.5) +
        stat_eye(fill = NA, .width = c(.90, .95)) +
        theme_bw() +
        labs(x = &quot;Party status&quot;, y = TeX(&quot;Effect of misalignment ($\\Delta_{rile}$) on committee membership&quot;))</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA8.pdf&quot;), width = 6.5, height = 4)

    ### Rapporteur assignment ----
      # Fit models
      mRAP.rileagreeFE1 = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_lr*billdisagree_wo
        |
          1
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.rileagreeFE1)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Standard-errors: IID 
##                                              Estimate Std. Error    z value
## (Intercept)                                 -3.489572   0.042214 -82.664603
## member_pct                                   0.351818   0.009940  35.392886
## oppoutinopposition                           0.297668   0.046585   6.389751
## oppoutinoutsider                             0.034270   0.059226   0.578632
## delta_lr                                     0.071247   0.026659   2.672558
## billdisagree_wo                              0.307939   0.164364   1.873522
## oppoutinopposition:delta_lr                 -0.059544   0.044023  -1.352565
## oppoutinoutsider:delta_lr                   -0.139360   0.060992  -2.284868
## oppoutinopposition:billdisagree_wo           0.200994   0.209168   0.960924
## oppoutinoutsider:billdisagree_wo             0.729034   0.260688   2.796576
## delta_lr:billdisagree_wo                    -0.427861   0.170257  -2.513035
## oppoutinopposition:delta_lr:billdisagree_wo  0.157226   0.219625   0.715885
## oppoutinoutsider:delta_lr:billdisagree_wo   -0.126914   0.280347  -0.452702
##                                               Pr(&gt;|z|)    
## (Intercept)                                  &lt; 2.2e-16 ***
## member_pct                                   &lt; 2.2e-16 ***
## oppoutinopposition                          1.6616e-10 ***
## oppoutinoutsider                            5.6284e-01    
## delta_lr                                    7.5275e-03 ** 
## billdisagree_wo                             6.0996e-02 .  
## oppoutinopposition:delta_lr                 1.7619e-01    
## oppoutinoutsider:delta_lr                   2.2321e-02 *  
## oppoutinopposition:billdisagree_wo          3.3659e-01    
## oppoutinoutsider:billdisagree_wo            5.1647e-03 ** 
## delta_lr:billdisagree_wo                    1.1970e-02 *  
## oppoutinopposition:delta_lr:billdisagree_wo 4.7406e-01    
## oppoutinoutsider:delta_lr:billdisagree_wo   6.5076e-01    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -15,078.8   Adj. Pseudo R2: 0.036389
##            BIC:  30,301.0     Squared Cor.: 0.019861</code></pre>
<pre class="r"><code>      mRAP.rileagreeFEcabparty = feglm(
        appointed ~
          member_pct +
          oppoutin +
          oppoutin*delta_lr*billdisagree_wo  |
          cabparty
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.rileagreeFEcabparty)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529
## Standard-errors: IID 
##                                              Estimate Std. Error   z value
## member_pct                                   0.263712   0.018200 14.489253
## oppoutinopposition                           0.119715   0.234828  0.509801
## oppoutinoutsider                             0.018507   0.070933  0.260908
## delta_lr                                     0.124748   0.164566  0.758041
## billdisagree_wo                             -0.257325   0.198043 -1.299339
## oppoutinopposition:delta_lr                 -0.060101   0.203596 -0.295195
## oppoutinoutsider:delta_lr                   -0.174027   0.073127 -2.379802
## oppoutinopposition:billdisagree_wo          -0.303891   0.269367 -1.128169
## oppoutinoutsider:billdisagree_wo             0.711478   0.294960  2.412117
## delta_lr:billdisagree_wo                    -0.392822   0.195503 -2.009292
## oppoutinopposition:delta_lr:billdisagree_wo  0.374084   0.280677  1.332794
## oppoutinoutsider:delta_lr:billdisagree_wo    0.198231   0.315649  0.628010
##                                              Pr(&gt;|z|)    
## member_pct                                  &lt; 2.2e-16 ***
## oppoutinopposition                           0.610191    
## oppoutinoutsider                             0.794164    
## delta_lr                                     0.448426    
## billdisagree_wo                              0.193828    
## oppoutinopposition:delta_lr                  0.767845    
## oppoutinoutsider:delta_lr                    0.017322 *  
## oppoutinopposition:billdisagree_wo           0.259248    
## oppoutinoutsider:billdisagree_wo             0.015860 *  
## delta_lr:billdisagree_wo                     0.044506 *  
## oppoutinopposition:delta_lr:billdisagree_wo  0.182599    
## oppoutinoutsider:delta_lr:billdisagree_wo    0.529997    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,494.8   Adj. Pseudo R2: 0.103818
##            BIC:  32,958.8     Squared Cor.: 0.097829</code></pre>
<pre class="r"><code>      mRAP.rileagreeFEcabpartycom = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_lr*billdisagree_wo
        |
          cabparty +
          title_short
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.rileagreeFEcabpartycom)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty: 529,  title_short: 20
## Standard-errors: IID 
##                                              Estimate Std. Error   z value
## member_pct                                   0.217749   0.020249 10.753310
## oppoutinopposition                           0.101855   0.235068  0.433301
## oppoutinoutsider                            -0.021902   0.072808 -0.300821
## delta_lr                                     0.109287   0.164543  0.664185
## billdisagree_wo                             -0.278077   0.199658 -1.392762
## oppoutinopposition:delta_lr                 -0.040826   0.203360 -0.200757
## oppoutinoutsider:delta_lr                   -0.167562   0.073041 -2.294080
## oppoutinopposition:billdisagree_wo          -0.271327   0.270857 -1.001734
## oppoutinoutsider:billdisagree_wo             0.712727   0.296737  2.401883
## delta_lr:billdisagree_wo                    -0.397443   0.196057 -2.027183
## oppoutinopposition:delta_lr:billdisagree_wo  0.373894   0.281800  1.326806
## oppoutinoutsider:delta_lr:billdisagree_wo    0.246023   0.317510  0.774849
##                                              Pr(&gt;|z|)    
## member_pct                                  &lt; 2.2e-16 ***
## oppoutinopposition                           0.664796    
## oppoutinoutsider                             0.763551    
## delta_lr                                     0.506572    
## billdisagree_wo                              0.163692    
## oppoutinopposition:delta_lr                  0.840889    
## oppoutinoutsider:delta_lr                    0.021786 *  
## oppoutinopposition:billdisagree_wo           0.316472    
## oppoutinoutsider:billdisagree_wo             0.016311 *  
## delta_lr:billdisagree_wo                     0.042644 *  
## oppoutinopposition:delta_lr:billdisagree_wo  0.184573    
## oppoutinoutsider:delta_lr:billdisagree_wo    0.438429    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,446.2   Adj. Pseudo R2: 0.105708
##            BIC:  33,071.2     Squared Cor.: 0.100559</code></pre>
<pre class="r"><code>      mRAP.rileagreeFEcabpartycom_term = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_lr*billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )
      summary(mRAP.rileagreeFEcabpartycom_term)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,925
## Fixed-effects: cabparty^EPterm: 701,  title_short^EPterm: 60
## Standard-errors: IID 
##                                              Estimate Std. Error   z value
## member_pct                                   0.234963   0.022232 10.568890
## oppoutinopposition                           0.363791   0.303853  1.197260
## oppoutinoutsider                            -0.037854   0.074869 -0.505594
## delta_lr                                     0.093090   0.190917  0.487595
## billdisagree_wo                             -0.295485   0.202915 -1.456200
## oppoutinopposition:delta_lr                 -0.108226   0.240095 -0.450763
## oppoutinoutsider:delta_lr                   -0.171458   0.074564 -2.299480
## oppoutinopposition:billdisagree_wo          -0.221135   0.275008 -0.804104
## oppoutinoutsider:billdisagree_wo             0.782264   0.300825  2.600392
## delta_lr:billdisagree_wo                    -0.413747   0.198844 -2.080756
## oppoutinopposition:delta_lr:billdisagree_wo  0.402468   0.286193  1.406281
## oppoutinoutsider:delta_lr:billdisagree_wo    0.260720   0.321458  0.811054
##                                              Pr(&gt;|z|)    
## member_pct                                  &lt; 2.2e-16 ***
## oppoutinopposition                          0.2312052    
## oppoutinoutsider                            0.6131416    
## delta_lr                                    0.6258366    
## billdisagree_wo                             0.1453373    
## oppoutinopposition:delta_lr                 0.6521602    
## oppoutinoutsider:delta_lr                   0.0214777 *  
## oppoutinopposition:billdisagree_wo          0.4213369    
## oppoutinoutsider:billdisagree_wo            0.0093117 ** 
## delta_lr:billdisagree_wo                    0.0374562 *  
## oppoutinopposition:delta_lr:billdisagree_wo 0.1596408    
## oppoutinoutsider:delta_lr:billdisagree_wo   0.4173349    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -13,280.8   Adj. Pseudo R2: 0.10273 
##            BIC:  35,079.6     Squared Cor.: 0.108791</code></pre>
<pre class="r"><code>      # Generate table A12
      models_rileagree_RAP = list(mRAP.rileagreeFE1,
                                  mRAP.rileagreeFEcabparty,
                                  mRAP.rileagreeFEcabpartycom,
                                  mRAP.rileagreeFEcabpartycom_term)
      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Log. Lik.&quot;, round(unlist(lapply(models_rileagree_RAP, logLik)), 3)),
                                 ncol = length(models_rileagree_RAP) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 26 + 1:nrow(FE_add)

      regtab = modelsummary(models_rileagree_RAP,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            width = c(0.4, rep(0.6/length(models_rileagree_RAP), length(models_rileagree_RAP))),
                            title = &quot;Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_rileagree_RAP}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_wqxhn1z9frxgiymjuc56(i, j, css_id) {
        var table = document.getElementById("tinytable_wqxhn1z9frxgiymjuc56");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_wqxhn1z9frxgiymjuc56');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_wqxhn1z9frxgiymjuc56(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_wqxhn1z9frxgiymjuc56");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(0, 0, 'tinytable_css_idmyvjfyt7ampb0yg8bv8i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(0, 1, 'tinytable_css_id2g33cvtjbwy36n7r3988') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(0, 2, 'tinytable_css_id2g33cvtjbwy36n7r3988') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(0, 3, 'tinytable_css_id2g33cvtjbwy36n7r3988') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(0, 4, 'tinytable_css_id2g33cvtjbwy36n7r3988') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(1, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(1, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(1, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(1, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(1, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(2, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(2, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(2, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(2, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(2, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(3, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(3, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(3, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(3, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(3, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(4, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(4, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(4, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(4, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(4, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(5, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(5, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(5, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(5, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(5, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(6, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(6, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(6, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(6, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(6, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(7, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(7, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(7, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(7, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(7, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(8, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(8, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(8, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(8, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(8, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(9, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(9, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(9, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(9, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(9, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(10, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(10, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(10, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(10, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(10, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(11, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(11, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(11, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(11, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(11, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(12, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(12, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(12, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(12, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(12, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(13, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(13, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(13, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(13, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(13, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(14, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(14, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(14, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(14, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(14, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(15, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(15, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(15, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(15, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(15, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(16, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(16, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(16, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(16, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(16, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(17, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(17, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(17, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(17, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(17, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(18, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(18, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(18, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(18, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(18, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(19, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(19, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(19, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(19, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(19, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(20, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(20, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(20, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(20, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(20, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(21, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(21, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(21, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(21, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(21, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(22, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(22, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(22, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(22, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(22, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(23, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(23, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(23, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(23, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(23, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(24, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(24, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(24, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(24, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(24, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(25, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(25, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(25, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(25, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(25, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(26, 0, 'tinytable_css_idg95dp3z211rqg212kqqw') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(26, 1, 'tinytable_css_idshbbhutul1bugfn2apox') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(26, 2, 'tinytable_css_idshbbhutul1bugfn2apox') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(26, 3, 'tinytable_css_idshbbhutul1bugfn2apox') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(26, 4, 'tinytable_css_idshbbhutul1bugfn2apox') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(27, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(27, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(27, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(27, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(27, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(28, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(28, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(28, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(28, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(28, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(29, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(29, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(29, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(29, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(29, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(30, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(30, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(30, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(30, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(30, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(31, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(31, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(31, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(31, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(31, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(32, 0, 'tinytable_css_idpkpi044jzyvkgkka2epi') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(32, 1, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(32, 2, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(32, 3, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(32, 4, 'tinytable_css_id9w1sfi2uf1mkne5f999i') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(33, 0, 'tinytable_css_id6aj5xrruekyre72b0g8o') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(33, 1, 'tinytable_css_id6aj5xrruekyre72b0g8o') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(33, 2, 'tinytable_css_id6aj5xrruekyre72b0g8o') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(33, 3, 'tinytable_css_id6aj5xrruekyre72b0g8o') })
window.addEventListener('load', function () { styleCell_wqxhn1z9frxgiymjuc56(33, 4, 'tinytable_css_id6aj5xrruekyre72b0g8o') })
    </script>

    <style>
.table td.tinytable_css_idmyvjfyt7ampb0yg8bv8i, .table th.tinytable_css_idmyvjfyt7ampb0yg8bv8i { width: 40%; text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_id2g33cvtjbwy36n7r3988, .table th.tinytable_css_id2g33cvtjbwy36n7r3988 { width: 15%; text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idpkpi044jzyvkgkka2epi, .table th.tinytable_css_idpkpi044jzyvkgkka2epi { width: 40%; text-align: left; }
.table td.tinytable_css_id9w1sfi2uf1mkne5f999i, .table th.tinytable_css_id9w1sfi2uf1mkne5f999i { width: 15%; text-align: center; }
.table td.tinytable_css_idg95dp3z211rqg212kqqw, .table th.tinytable_css_idg95dp3z211rqg212kqqw { width: 40%; border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_idshbbhutul1bugfn2apox, .table th.tinytable_css_idshbbhutul1bugfn2apox { width: 15%; border-bottom: solid 0.05em black; text-align: center; }
.table td.tinytable_css_id6aj5xrruekyre72b0g8o, .table th.tinytable_css_id6aj5xrruekyre72b0g8o { text-align: left; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_wqxhn1z9frxgiymjuc56" style="table-layout: fixed; width: 100% !important; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_rileagree_RAP}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                  </td>
                  <td>0.034     </td>
                  <td>0.019      </td>
                  <td>-0.022     </td>
                  <td>-0.038     </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.059)   </td>
                  <td>(0.071)    </td>
                  <td>(0.073)    </td>
                  <td>(0.075)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                                </td>
                  <td>0.298***  </td>
                  <td>0.120      </td>
                  <td>0.102      </td>
                  <td>0.364      </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.047)   </td>
                  <td>(0.235)    </td>
                  <td>(0.235)    </td>
                  <td>(0.304)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{rile}}$                                                  </td>
                  <td>0.071**   </td>
                  <td>0.125      </td>
                  <td>0.109      </td>
                  <td>0.093      </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.027)   </td>
                  <td>(0.165)    </td>
                  <td>(0.165)    </td>
                  <td>(0.191)    </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                         </td>
                  <td>0.308+    </td>
                  <td>-0.257     </td>
                  <td>-0.278     </td>
                  <td>-0.295     </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.164)   </td>
                  <td>(0.198)    </td>
                  <td>(0.200)    </td>
                  <td>(0.203)    </td>
                </tr>
                <tr>
                  <td>Strength in committee                                                     </td>
                  <td>0.352***  </td>
                  <td>0.264***   </td>
                  <td>0.218***   </td>
                  <td>0.235***   </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.010)   </td>
                  <td>(0.018)    </td>
                  <td>(0.020)    </td>
                  <td>(0.022)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{rile}}$ $\times$  bill disagreement                     </td>
                  <td>-0.428*   </td>
                  <td>-0.393*    </td>
                  <td>-0.397*    </td>
                  <td>-0.414*    </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.170)   </td>
                  <td>(0.196)    </td>
                  <td>(0.196)    </td>
                  <td>(0.199)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                     </td>
                  <td>0.729**   </td>
                  <td>0.711*     </td>
                  <td>0.713*     </td>
                  <td>0.782**    </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.261)   </td>
                  <td>(0.295)    </td>
                  <td>(0.297)    </td>
                  <td>(0.301)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                   </td>
                  <td>0.201     </td>
                  <td>-0.304     </td>
                  <td>-0.271     </td>
                  <td>-0.221     </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.209)   </td>
                  <td>(0.269)    </td>
                  <td>(0.271)    </td>
                  <td>(0.275)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{rile}}$                               </td>
                  <td>-0.139*   </td>
                  <td>-0.174*    </td>
                  <td>-0.168*    </td>
                  <td>-0.171*    </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.061)   </td>
                  <td>(0.073)    </td>
                  <td>(0.073)    </td>
                  <td>(0.075)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{rile}}$                             </td>
                  <td>-0.060    </td>
                  <td>-0.060     </td>
                  <td>-0.041     </td>
                  <td>-0.108     </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.044)   </td>
                  <td>(0.204)    </td>
                  <td>(0.203)    </td>
                  <td>(0.240)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{rile}}$ $\times$  bill disagreement  </td>
                  <td>-0.127    </td>
                  <td>0.198      </td>
                  <td>0.246      </td>
                  <td>0.261      </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.280)   </td>
                  <td>(0.316)    </td>
                  <td>(0.318)    </td>
                  <td>(0.321)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{rile}}$ $\times$  bill disagreement</td>
                  <td>0.157     </td>
                  <td>0.374      </td>
                  <td>0.374      </td>
                  <td>0.402      </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.220)   </td>
                  <td>(0.281)    </td>
                  <td>(0.282)    </td>
                  <td>(0.286)    </td>
                </tr>
                <tr>
                  <td>Intercept                                                                 </td>
                  <td>-3.490*** </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                                          </td>
                  <td>(0.042)   </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                                </td>
                  <td>          </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                                              </td>
                  <td>          </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                                               </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                                 </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                                 </td>
                  <td>-15078.765</td>
                  <td>-13494.789 </td>
                  <td>-13446.187 </td>
                  <td>-13280.821 </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                  </td>
                  <td>61925     </td>
                  <td>61925      </td>
                  <td>61925      </td>
                  <td>61925      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA12.txt&quot;), overwrite = T)
      rm(regtab, FE_add, models_rileagree_RAP)

      # Generate Figure A9
      pdat = plot_slopes(mRAP.rileagreeFEcabpartycom_term, variables = &quot;delta_lr&quot;, condition = list(&quot;billdisagree_wo&quot;, &quot;oppoutin&quot;), draw = F)
      pdat$oppoutin = case_match(pdat$oppoutin,
                                 &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                 &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                 &quot;insider&quot; ~ &quot;Insider&quot;)

      ggplot(pdat, aes(x = billdisagree_wo, y = estimate, ymin = conf.low, ymax = conf.high)) +
        geom_rug(inherit.aes = F,
                 data = d_RAP %&gt;% dplyr::select(billdisagree_wo,oppoutin) %&gt;%
                   mutate(oppoutin = case_match(oppoutin,
                                                &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                                &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                                &quot;insider&quot; ~ &quot;Insider&quot;)),
                 mapping = aes(x = billdisagree_wo),
                 alpha = 0.3) +
        facet_wrap(~oppoutin)+
        geom_ribbon(linetype = 2, color = &quot;grey20&quot;, fill = &quot;grey80&quot;, alpha = 0.5) +
        geom_line() +
        theme_bw() +
        theme(strip.background = element_blank(),
              strip.text = element_text(size = 11)) +
        labs(x = &quot;Bill disagreement&quot;,
             y = TeX(&quot;Effect of misalignment ($\\Delta_{policy}$) on rapporteur assignment&quot;),
        )</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA9.pdf&quot;), width = 6.5, height = 4)

  ## Misalignment with Insider ----
    ### Committee appointment ----
      # Fit models
      mCOM.policyoutsiderFE1 = feglm(
        member ~
          oppoutin + oppoutin:delta_policy_outsider
        |
          1,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## NOTE: 190 observations removed because of NA values (RHS: 190).</code></pre>
<pre class="r"><code>      summary(mCOM.policyoutsiderFE1)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,552
## Standard-errors: IID 
##                                           Estimate Std. Error  z value
## (Intercept)                              -0.348363   0.040528 -8.59567
## oppoutinopposition                       -0.426587   0.049858 -8.55607
## oppoutinoutsider                         -0.573335   0.071805 -7.98462
## oppoutinopposition:delta_policy_outsider -0.044680   0.024792 -1.80220
## oppoutinoutsider:delta_policy_outsider    0.096587   0.052305  1.84662
##                                            Pr(&gt;|z|)    
## (Intercept)                               &lt; 2.2e-16 ***
## oppoutinopposition                        &lt; 2.2e-16 ***
## oppoutinoutsider                         1.4096e-15 ***
## oppoutinopposition:delta_policy_outsider 7.1514e-02 .  
## oppoutinoutsider:delta_policy_outsider   6.4802e-02 .  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -6,046.5   Adj. Pseudo R2: 0.007656
##            BIC: 12,138.8     Squared Cor.: 0.010785</code></pre>
<pre class="r"><code>      mCOM.policyoutsiderFEcabparty = feglm(
        member ~
          oppoutin + oppoutin:delta_policy_outsider
        |
          cabparty,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## NOTE: 190 observations removed because of NA values (RHS: 190).
## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyoutsiderFEcabparty)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,552
## Fixed-effects: cabparty: 419
## Standard-errors: IID 
##                                           Estimate Std. Error   z value
## oppoutinoutsider                         -0.070045   0.101588 -0.689505
## oppoutinopposition:delta_policy_outsider -0.010953   0.034977 -0.313136
## oppoutinoutsider:delta_policy_outsider    0.105203   0.065972  1.594664
##                                          Pr(&gt;|z|) 
## oppoutinoutsider                          0.49051 
## oppoutinopposition:delta_policy_outsider  0.75418 
## oppoutinoutsider:delta_policy_outsider    0.11079 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,706.9   Adj. Pseudo R2: 0.158971
##            BIC: 13,281.2     Squared Cor.: 0.275368</code></pre>
<pre class="r"><code>      mCOM.policyoutsiderFEcabpartycom = feglm(
        member ~
          oppoutin + oppoutin:delta_policy_outsider
        |
          cabparty + title_short,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## NOTE: 190 observations removed because of NA values (RHS: 190).
## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyoutsiderFEcabpartycom)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,552
## Fixed-effects: cabparty: 419,  title_short: 24
## Standard-errors: IID 
##                                           Estimate Std. Error   z value
## oppoutinoutsider                         -0.058747   0.106348 -0.552403
## oppoutinopposition:delta_policy_outsider -0.020161   0.036427 -0.553458
## oppoutinoutsider:delta_policy_outsider    0.100271   0.068505  1.463697
##                                          Pr(&gt;|z|) 
## oppoutinoutsider                          0.58067 
## oppoutinopposition:delta_policy_outsider  0.57995 
## oppoutinoutsider:delta_policy_outsider    0.14328 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,388.8   Adj. Pseudo R2: 0.207367
##            BIC: 12,855.8     Squared Cor.: 0.332935</code></pre>
<pre class="r"><code>      mCOM.policyoutsiderFEcabpartycom_term = feglm(
        member ~
          oppoutin + oppoutin:delta_policy_outsider
        |
          cabparty^EPterm + title_short^EPterm,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_COM
      )</code></pre>
<pre><code>## NOTE: 190 observations removed because of NA values (RHS: 190).
## The variable &#39;oppoutinopposition&#39; has been removed because of collinearity (see
## $collin.var).</code></pre>
<pre class="r"><code>      summary(mCOM.policyoutsiderFEcabpartycom_term)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: member
## Observations: 9,552
## Fixed-effects: cabparty^EPterm: 433,  title_short^EPterm: 90
## Standard-errors: IID 
##                                           Estimate Std. Error   z value
## oppoutinoutsider                         -0.046369   0.108604 -0.426955
## oppoutinopposition:delta_policy_outsider -0.020769   0.037544 -0.553203
## oppoutinoutsider:delta_policy_outsider    0.104945   0.069445  1.511192
##                                          Pr(&gt;|z|) 
## oppoutinoutsider                          0.66941 
## oppoutinopposition:delta_policy_outsider  0.58012 
## oppoutinoutsider:delta_policy_outsider    0.13074 
## ... 1 variable was removed because of collinearity (oppoutinopposition)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -4,347.0   Adj. Pseudo R2: 0.201105
##            BIC: 13,505.4     Squared Cor.: 0.340253</code></pre>
<pre class="r"><code>      # Generate table A13
      models_policyoutsider_COM = list(mCOM.policyoutsiderFE1,
                                       mCOM.policyoutsiderFEcabparty,
                                       mCOM.policyoutsiderFEcabpartycom,
                                       mCOM.policyoutsiderFEcabpartycom_term)
      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Log. Lik.&quot;, round(unlist(lapply(models_policyoutsider_COM, logLik)), 3)),
                                 ncol = length(models_policyoutsider_COM) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 10 + 1:nrow(FE_add)

      regtab = modelsummary(models_policyoutsider_COM,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            title = &quot;Binary logistic regression estimates. DV: Committee appointment. Standard errors in parentheses.\\label{tab:regtab_deltapolicyoutsider_COM}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_hjd4nxnt1ofi3nh1bv35(i, j, css_id) {
        var table = document.getElementById("tinytable_hjd4nxnt1ofi3nh1bv35");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_hjd4nxnt1ofi3nh1bv35');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_hjd4nxnt1ofi3nh1bv35(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_hjd4nxnt1ofi3nh1bv35");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(0, 0, 'tinytable_css_idvldseo90jthhuxw3j1g5') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(0, 1, 'tinytable_css_idlpeheaq8kcdolyx71csk') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(0, 2, 'tinytable_css_idlpeheaq8kcdolyx71csk') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(0, 3, 'tinytable_css_idlpeheaq8kcdolyx71csk') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(0, 4, 'tinytable_css_idlpeheaq8kcdolyx71csk') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(1, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(1, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(1, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(1, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(1, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(2, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(2, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(2, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(2, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(2, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(3, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(3, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(3, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(3, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(3, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(4, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(4, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(4, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(4, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(4, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(5, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(5, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(5, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(5, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(5, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(6, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(6, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(6, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(6, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(6, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(7, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(7, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(7, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(7, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(7, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(8, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(8, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(8, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(8, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(8, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(9, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(9, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(9, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(9, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(9, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(10, 0, 'tinytable_css_id8z6h5icw0eaekdogbnax') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(10, 1, 'tinytable_css_iddho5udsm9ialbbbksze6') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(10, 2, 'tinytable_css_iddho5udsm9ialbbbksze6') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(10, 3, 'tinytable_css_iddho5udsm9ialbbbksze6') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(10, 4, 'tinytable_css_iddho5udsm9ialbbbksze6') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(11, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(11, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(11, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(11, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(11, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(12, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(12, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(12, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(12, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(12, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(13, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(13, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(13, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(13, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(13, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(14, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(14, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(14, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(14, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(14, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(15, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(15, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(15, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(15, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(15, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(16, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(16, 1, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(16, 2, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(16, 3, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(16, 4, 'tinytable_css_idfijfutb1q3p7d7shdq4h') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(17, 0, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(17, 1, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(17, 2, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(17, 3, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
window.addEventListener('load', function () { styleCell_hjd4nxnt1ofi3nh1bv35(17, 4, 'tinytable_css_ide3iekz0wzfqemxhvo7jn') })
    </script>

    <style>
.table td.tinytable_css_idvldseo90jthhuxw3j1g5, .table th.tinytable_css_idvldseo90jthhuxw3j1g5 { text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idlpeheaq8kcdolyx71csk, .table th.tinytable_css_idlpeheaq8kcdolyx71csk { text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_ide3iekz0wzfqemxhvo7jn, .table th.tinytable_css_ide3iekz0wzfqemxhvo7jn { text-align: left; }
.table td.tinytable_css_idfijfutb1q3p7d7shdq4h, .table th.tinytable_css_idfijfutb1q3p7d7shdq4h { text-align: center; }
.table td.tinytable_css_id8z6h5icw0eaekdogbnax, .table th.tinytable_css_id8z6h5icw0eaekdogbnax { border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_iddho5udsm9ialbbbksze6, .table th.tinytable_css_iddho5udsm9ialbbbksze6 { border-bottom: solid 0.05em black; text-align: center; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_hjd4nxnt1ofi3nh1bv35" style="width: auto; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Committee appointment. Standard errors in parentheses.\label{tab:regtab_deltapolicyoutsider_COM}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                  </td>
                  <td>-0.573***</td>
                  <td>-0.070     </td>
                  <td>-0.059     </td>
                  <td>-0.046     </td>
                </tr>
                <tr>
                  <td>                                                          </td>
                  <td>(0.072)  </td>
                  <td>(0.102)    </td>
                  <td>(0.106)    </td>
                  <td>(0.109)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                </td>
                  <td>-0.427***</td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                          </td>
                  <td>(0.050)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\widetilde\Delta_{\text{policy}}$  </td>
                  <td>0.097+   </td>
                  <td>0.105      </td>
                  <td>0.100      </td>
                  <td>0.105      </td>
                </tr>
                <tr>
                  <td>                                                          </td>
                  <td>(0.052)  </td>
                  <td>(0.066)    </td>
                  <td>(0.069)    </td>
                  <td>(0.069)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\widetilde\Delta_{\text{policy}}$</td>
                  <td>-0.045+  </td>
                  <td>-0.011     </td>
                  <td>-0.020     </td>
                  <td>-0.021     </td>
                </tr>
                <tr>
                  <td>                                                          </td>
                  <td>(0.025)  </td>
                  <td>(0.035)    </td>
                  <td>(0.036)    </td>
                  <td>(0.038)    </td>
                </tr>
                <tr>
                  <td>Intercept                                                 </td>
                  <td>-0.348***</td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                          </td>
                  <td>(0.041)  </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                </td>
                  <td>         </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                              </td>
                  <td>         </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                               </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                 </td>
                  <td>         </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                 </td>
                  <td>-6046.482</td>
                  <td>-4706.891  </td>
                  <td>-4388.814  </td>
                  <td>-4346.995  </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                  </td>
                  <td>9552     </td>
                  <td>9552       </td>
                  <td>9552       </td>
                  <td>9552       </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA13.txt&quot;), overwrite = T)
      rm(regtab, models_policyoutsider_COM, FE_add)

      # Generate Figure A10
      pdat = plot_slopes(mCOM.policyoutsiderFEcabpartycom_term, variables = &quot;delta_policy_outsider&quot;, by = &quot;oppoutin&quot;, draw = F)
      pdat</code></pre>
<pre><code>##                    term    contrast   oppoutin     estimate   std.error
## 1 delta_policy_outsider mean(dY/dX)    insider  0.000000000          NA
## 2 delta_policy_outsider mean(dY/dX) opposition -0.003027145 0.005464277
## 3 delta_policy_outsider mean(dY/dX)   outsider  0.015542824 0.010251824
##    statistic   p.value   s.value     conf.low   conf.high predicted_lo
## 1         NA        NA        NA           NA          NA   0.03917291
## 2 -0.5539883 0.5795869 0.7869032 -0.013736932 0.007682641   0.05909999
## 3  1.5161033 0.1294932 2.9490515 -0.004550381 0.035636030   0.06273606
##   predicted_hi  predicted
## 1   0.03917291 0.03917291
## 2   0.05909875 0.05909937
## 3   0.06274268 0.06273937</code></pre>
<pre class="r"><code>      pdat$oppoutin = case_match(pdat$oppoutin,
                                 &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                 &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                 &quot;insider&quot; ~ &quot;Insider&quot;)
      ggplot(pdat, aes(x = oppoutin, ydist = dist_normal(estimate, std.error))) +
        geom_hline(yintercept = 0, linetype = 2) +
        stat_eye(fill = &quot;grey80&quot;, .width = c(.90, .95), alpha = 0.5) +
        stat_eye(fill = NA, .width = c(.90, .95)) +
        geom_point(aes(y = estimate), size = 2.5) +
        theme_bw() +
        labs(x = &quot;Party status&quot;, y = TeX(&quot;Effect of misalignment ($\\widetilde{\\Delta}_{policy}$) on committee membership&quot;))</code></pre>
<pre><code>## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced</code></pre>
<pre><code>## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced</code></pre>
<pre><code>## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 2 rows containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA10.pdf&quot;), width = 6.5, height = 4)</code></pre>
<pre><code>## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced</code></pre>
<pre><code>## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced
## Warning in stats::rnorm(times, x[[&quot;mu&quot;]], x[[&quot;sigma&quot;]]): NAs produced</code></pre>
<pre><code>## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 2 rows containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre class="r"><code>    ### Rapporteur assignment ----
      # Fit models
      mRAP.policyoutsideragreeFE1 = feglm(
        appointed ~
          member_pct +
          oppoutin +
          oppoutin:delta_policy_outsider*billdisagree_wo +
          oppoutin:billdisagree_wo
        |
          1
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )</code></pre>
<pre><code>## NOTE: 2,956 observations removed because of NA values (RHS: 2,956).</code></pre>
<pre class="r"><code>      summary(mRAP.policyoutsideragreeFE1)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 58,969
## Standard-errors: IID 
##                                                           Estimate Std. Error
## (Intercept)                                              -3.463232   0.041469
## member_pct                                                0.349360   0.010162
## oppoutinopposition                                        0.254987   0.045107
## oppoutinoutsider                                          0.014148   0.063885
## billdisagree_wo                                           0.225013   0.163639
## oppoutinopposition:delta_policy_outsider                 -0.094571   0.024343
## oppoutinoutsider:delta_policy_outsider                   -0.072696   0.058097
## oppoutinopposition:billdisagree_wo                        0.238153   0.208954
## oppoutinoutsider:billdisagree_wo                          0.578650   0.275500
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  0.079919   0.086314
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    0.448438   0.210329
##                                                             z value   Pr(&gt;|z|)
## (Intercept)                                              -83.514068  &lt; 2.2e-16
## member_pct                                                34.380321  &lt; 2.2e-16
## oppoutinopposition                                         5.652927 1.5774e-08
## oppoutinoutsider                                           0.221464 8.2473e-01
## billdisagree_wo                                            1.375060 1.6911e-01
## oppoutinopposition:delta_policy_outsider                  -3.884990 1.0233e-04
## oppoutinoutsider:delta_policy_outsider                    -1.251290 2.1083e-01
## oppoutinopposition:billdisagree_wo                         1.139736 2.5440e-01
## oppoutinoutsider:billdisagree_wo                           2.100365 3.5697e-02
## oppoutinopposition:delta_policy_outsider:billdisagree_wo   0.925915 3.5449e-01
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo     2.132077 3.3001e-02
##                                                             
## (Intercept)                                              ***
## member_pct                                               ***
## oppoutinopposition                                       ***
## oppoutinoutsider                                            
## billdisagree_wo                                             
## oppoutinopposition:delta_policy_outsider                 ***
## oppoutinoutsider:delta_policy_outsider                      
## oppoutinopposition:billdisagree_wo                          
## oppoutinoutsider:billdisagree_wo                         *  
## oppoutinopposition:delta_policy_outsider:billdisagree_wo    
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo   *  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -14,224.8   Adj. Pseudo R2: 0.037108
##            BIC:  28,570.4     Squared Cor.: 0.02001</code></pre>
<pre class="r"><code>      # NOTE: this model formula is equivalent to the following model. however, this version doesn&#39;t falsely plot effect slopes for insider for which delta_policy_outsider is constant.
      mRAP.sanity = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_policy_outsider*billdisagree_wo
        |
          1
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )</code></pre>
<pre><code>## NOTE: 2,956 observations removed because of NA values (RHS: 2,956).
## The variables &#39;oppoutinoutsider:delta_policy_outsider&#39; and
## &#39;oppoutinoutsider:delta_policy_outsider:billdisagree_wo&#39; have been removed
## because of collinearity (see $collin.var).</code></pre>
<pre class="r"><code>      summary(mRAP.sanity)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 58,969
## Standard-errors: IID 
##                                                           Estimate Std. Error
## (Intercept)                                              -3.463232   0.041469
## member_pct                                                0.349360   0.010162
## oppoutinopposition                                        0.254987   0.045107
## oppoutinoutsider                                          0.014148   0.063885
## delta_policy_outsider                                    -0.072696   0.058097
## billdisagree_wo                                           0.225013   0.163639
## oppoutinopposition:delta_policy_outsider                 -0.021875   0.062960
## oppoutinopposition:billdisagree_wo                        0.238153   0.208954
## oppoutinoutsider:billdisagree_wo                          0.578650   0.275500
## delta_policy_outsider:billdisagree_wo                     0.448438   0.210329
## oppoutinopposition:delta_policy_outsider:billdisagree_wo -0.368518   0.227349
##                                                             z value   Pr(&gt;|z|)
## (Intercept)                                              -83.514068  &lt; 2.2e-16
## member_pct                                                34.380321  &lt; 2.2e-16
## oppoutinopposition                                         5.652927 1.5774e-08
## oppoutinoutsider                                           0.221464 8.2473e-01
## delta_policy_outsider                                     -1.251290 2.1083e-01
## billdisagree_wo                                            1.375060 1.6911e-01
## oppoutinopposition:delta_policy_outsider                  -0.347436 7.2826e-01
## oppoutinopposition:billdisagree_wo                         1.139736 2.5440e-01
## oppoutinoutsider:billdisagree_wo                           2.100365 3.5697e-02
## delta_policy_outsider:billdisagree_wo                      2.132077 3.3001e-02
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  -1.620939 1.0503e-01
##                                                             
## (Intercept)                                              ***
## member_pct                                               ***
## oppoutinopposition                                       ***
## oppoutinoutsider                                            
## delta_policy_outsider                                       
## billdisagree_wo                                             
## oppoutinopposition:delta_policy_outsider                    
## oppoutinopposition:billdisagree_wo                          
## oppoutinoutsider:billdisagree_wo                         *  
## delta_policy_outsider:billdisagree_wo                    *  
## oppoutinopposition:delta_policy_outsider:billdisagree_wo    
## ... 2 variables were removed because of collinearity
## (oppoutinoutsider:delta_policy_outsider and
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo)
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -14,224.8   Adj. Pseudo R2: 0.037108
##            BIC:  28,570.4     Squared Cor.: 0.02001</code></pre>
<pre class="r"><code>      mRAP.policyoutsideragreeFEcabparty = feglm(
        appointed ~
          member_pct +
          oppoutin +
          oppoutin:delta_policy_outsider*billdisagree_wo +
          oppoutin:billdisagree_wo
        |
          cabparty
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )</code></pre>
<pre><code>## NOTE: 2,956 observations removed because of NA values (RHS: 2,956).</code></pre>
<pre class="r"><code>      summary(mRAP.policyoutsideragreeFEcabparty)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 58,969
## Fixed-effects: cabparty: 522
## Standard-errors: IID 
##                                                           Estimate Std. Error
## member_pct                                                0.256285   0.018525
## oppoutinopposition                                        0.139073   0.228765
## oppoutinoutsider                                         -0.058073   0.077262
## billdisagree_wo                                          -0.354034   0.196509
## oppoutinopposition:delta_policy_outsider                 -0.073857   0.030088
## oppoutinoutsider:delta_policy_outsider                   -0.013310   0.065118
## oppoutinopposition:billdisagree_wo                       -0.314164   0.267986
## oppoutinoutsider:billdisagree_wo                          0.633060   0.308060
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  0.304947   0.110513
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    0.715062   0.260686
##                                                            z value  Pr(&gt;|z|)
## member_pct                                               13.834201 &lt; 2.2e-16
## oppoutinopposition                                        0.607930 0.5432341
## oppoutinoutsider                                         -0.751639 0.4522684
## billdisagree_wo                                          -1.801613 0.0716064
## oppoutinopposition:delta_policy_outsider                 -2.454714 0.0140997
## oppoutinoutsider:delta_policy_outsider                   -0.204402 0.8380397
## oppoutinopposition:billdisagree_wo                       -1.172312 0.2410718
## oppoutinoutsider:billdisagree_wo                          2.054990 0.0398800
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  2.759372 0.0057913
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    2.743007 0.0060879
##                                                             
## member_pct                                               ***
## oppoutinopposition                                          
## oppoutinoutsider                                            
## billdisagree_wo                                          .  
## oppoutinopposition:delta_policy_outsider                 *  
## oppoutinoutsider:delta_policy_outsider                      
## oppoutinopposition:billdisagree_wo                          
## oppoutinoutsider:billdisagree_wo                         *  
## oppoutinopposition:delta_policy_outsider:billdisagree_wo ** 
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo   ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -12,709.2   Adj. Pseudo R2: 0.104387
##            BIC:  31,262.3     Squared Cor.: 0.100152</code></pre>
<pre class="r"><code>      mRAP.policyoutsideragreeFEcabpartycom = feglm(
        appointed ~
          member_pct +
          oppoutin +
          oppoutin:delta_policy_outsider*billdisagree_wo +
          oppoutin:billdisagree_wo
        |
          cabparty +
          title_short
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )</code></pre>
<pre><code>## NOTE: 2,956 observations removed because of NA values (RHS: 2,956).</code></pre>
<pre class="r"><code>      summary(mRAP.policyoutsideragreeFEcabpartycom)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 58,969
## Fixed-effects: cabparty: 522,  title_short: 20
## Standard-errors: IID 
##                                                           Estimate Std. Error
## member_pct                                                0.205829   0.020721
## oppoutinopposition                                        0.134910   0.229122
## oppoutinoutsider                                         -0.101191   0.078533
## billdisagree_wo                                          -0.365400   0.197762
## oppoutinopposition:delta_policy_outsider                 -0.066940   0.030626
## oppoutinoutsider:delta_policy_outsider                    0.006844   0.064939
## oppoutinopposition:billdisagree_wo                       -0.283611   0.268947
## oppoutinoutsider:billdisagree_wo                          0.642051   0.309433
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  0.313667   0.111424
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    0.688322   0.258238
##                                                            z value  Pr(&gt;|z|)
## member_pct                                                9.933221 &lt; 2.2e-16
## oppoutinopposition                                        0.588811 0.5559881
## oppoutinoutsider                                         -1.288515 0.1975667
## billdisagree_wo                                          -1.847671 0.0646499
## oppoutinopposition:delta_policy_outsider                 -2.185739 0.0288347
## oppoutinoutsider:delta_policy_outsider                    0.105392 0.9160648
## oppoutinopposition:billdisagree_wo                       -1.054520 0.2916448
## oppoutinoutsider:billdisagree_wo                          2.074928 0.0379932
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  2.815064 0.0048768
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    2.665452 0.0076885
##                                                             
## member_pct                                               ***
## oppoutinopposition                                          
## oppoutinoutsider                                            
## billdisagree_wo                                          .  
## oppoutinopposition:delta_policy_outsider                 *  
## oppoutinoutsider:delta_policy_outsider                      
## oppoutinopposition:billdisagree_wo                          
## oppoutinoutsider:billdisagree_wo                         *  
## oppoutinopposition:delta_policy_outsider:billdisagree_wo ** 
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo   ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -12,646.1   Adj. Pseudo R2: 0.107368
##            BIC:  31,344.8     Squared Cor.: 0.104206</code></pre>
<pre class="r"><code>      mRAP.policyoutsideragreeFEcabpartycom_term = feglm(
        appointed ~
          member_pct +
          oppoutin +
          oppoutin:delta_policy_outsider*billdisagree_wo +
          oppoutin:billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )</code></pre>
<pre><code>## NOTE: 2,956 observations removed because of NA values (RHS: 2,956).</code></pre>
<pre class="r"><code>      mRAP.policyoutsideragreeFEcabpartycom_term = feglm(
        appointed ~
          member_pct +
          oppoutin +
          oppoutin:delta_policy_outsider*billdisagree_wo +
          oppoutin:billdisagree_wo

        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP,
        fixef.keep_names = T
      )</code></pre>
<pre><code>## NOTE: 2,956 observations removed because of NA values (RHS: 2,956).</code></pre>
<pre class="r"><code>      summary(mRAP.policyoutsideragreeFEcabpartycom_term)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 58,969
## Fixed-effects: cabparty^EPterm: 689,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                           Estimate Std. Error
## member_pct                                                0.224288   0.022908
## oppoutinopposition                                        0.345315   0.289906
## oppoutinoutsider                                         -0.111267   0.081059
## billdisagree_wo                                          -0.374330   0.200879
## oppoutinopposition:delta_policy_outsider                 -0.069205   0.031106
## oppoutinoutsider:delta_policy_outsider                    0.007329   0.065862
## oppoutinopposition:billdisagree_wo                       -0.233582   0.272782
## oppoutinoutsider:billdisagree_wo                          0.707898   0.314308
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  0.299158   0.113077
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    0.730687   0.258897
##                                                            z value  Pr(&gt;|z|)
## member_pct                                                9.790885 &lt; 2.2e-16
## oppoutinopposition                                        1.191128 0.2336033
## oppoutinoutsider                                         -1.372660 0.1698582
## billdisagree_wo                                          -1.863460 0.0623976
## oppoutinopposition:delta_policy_outsider                 -2.224821 0.0260932
## oppoutinoutsider:delta_policy_outsider                    0.111276 0.9113973
## oppoutinopposition:billdisagree_wo                       -0.856294 0.3918350
## oppoutinoutsider:billdisagree_wo                          2.252241 0.0243071
## oppoutinopposition:delta_policy_outsider:billdisagree_wo  2.645609 0.0081544
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo    2.822305 0.0047680
##                                                             
## member_pct                                               ***
## oppoutinopposition                                          
## oppoutinoutsider                                            
## billdisagree_wo                                          .  
## oppoutinopposition:delta_policy_outsider                 *  
## oppoutinoutsider:delta_policy_outsider                      
## oppoutinopposition:billdisagree_wo                          
## oppoutinoutsider:billdisagree_wo                         *  
## oppoutinopposition:delta_policy_outsider:billdisagree_wo ** 
## oppoutinoutsider:delta_policy_outsider:billdisagree_wo   ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -12,482.1   Adj. Pseudo R2: 0.104457
##            BIC:  33,290.7     Squared Cor.: 0.112556</code></pre>
<pre class="r"><code>      # Generate table A14
      models_policyoutsideragree_RAP = list(mRAP.policyoutsideragreeFE1,
                                            mRAP.policyoutsideragreeFEcabparty,
                                            mRAP.policyoutsideragreeFEcabpartycom,
                                            mRAP.policyoutsideragreeFEcabpartycom_term)
      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;,&quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;&quot;, &quot;&quot;, &quot;&quot;, &quot;\\checkmark&quot;,
                                   &quot;Log. Lik.&quot;, round(unlist(lapply(models_policyoutsideragree_RAP, logLik)), 3)),
                                 ncol = length(models_policyoutsideragree_RAP) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 22 + 1:nrow(FE_add)

      regtab = modelsummary(models_policyoutsideragree_RAP,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            width = c(0.4, rep(0.6/length(models_policyoutsideragree_RAP), length(models_policyoutsideragree_RAP))),
                            title = &quot;Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_policyoutsideragree_RAP}&quot;)# c(&#39;*&#39; = .05, &#39;**&#39; = .01, &quot;***&quot; = .001))
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_i85pns4mom6gjp6fqn6l(i, j, css_id) {
        var table = document.getElementById("tinytable_i85pns4mom6gjp6fqn6l");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_i85pns4mom6gjp6fqn6l');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_i85pns4mom6gjp6fqn6l(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_i85pns4mom6gjp6fqn6l");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(0, 0, 'tinytable_css_idcoyx3r8qmsy0j0jep0kx') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(0, 1, 'tinytable_css_idl9y2hgkv07bp7wsik7ge') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(0, 2, 'tinytable_css_idl9y2hgkv07bp7wsik7ge') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(0, 3, 'tinytable_css_idl9y2hgkv07bp7wsik7ge') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(0, 4, 'tinytable_css_idl9y2hgkv07bp7wsik7ge') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(1, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(1, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(1, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(1, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(1, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(2, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(2, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(2, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(2, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(2, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(3, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(3, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(3, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(3, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(3, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(4, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(4, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(4, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(4, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(4, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(5, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(5, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(5, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(5, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(5, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(6, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(6, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(6, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(6, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(6, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(7, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(7, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(7, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(7, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(7, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(8, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(8, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(8, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(8, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(8, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(9, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(9, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(9, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(9, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(9, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(10, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(10, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(10, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(10, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(10, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(11, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(11, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(11, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(11, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(11, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(12, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(12, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(12, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(12, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(12, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(13, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(13, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(13, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(13, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(13, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(14, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(14, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(14, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(14, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(14, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(15, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(15, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(15, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(15, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(15, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(16, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(16, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(16, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(16, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(16, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(17, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(17, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(17, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(17, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(17, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(18, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(18, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(18, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(18, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(18, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(19, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(19, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(19, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(19, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(19, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(20, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(20, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(20, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(20, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(20, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(21, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(21, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(21, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(21, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(21, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(22, 0, 'tinytable_css_id6bx92q0pwweprfdb3oav') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(22, 1, 'tinytable_css_id4cmse3fpa4bzg7z1a5ua') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(22, 2, 'tinytable_css_id4cmse3fpa4bzg7z1a5ua') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(22, 3, 'tinytable_css_id4cmse3fpa4bzg7z1a5ua') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(22, 4, 'tinytable_css_id4cmse3fpa4bzg7z1a5ua') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(23, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(23, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(23, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(23, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(23, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(24, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(24, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(24, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(24, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(24, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(25, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(25, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(25, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(25, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(25, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(26, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(26, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(26, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(26, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(26, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(27, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(27, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(27, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(27, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(27, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(28, 0, 'tinytable_css_idye67w9rk6vrinkxootbs') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(28, 1, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(28, 2, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(28, 3, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(28, 4, 'tinytable_css_id81hm7h0h2ofmzgx03agl') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(29, 0, 'tinytable_css_id6ouofpf6th3vg0rmdsv8') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(29, 1, 'tinytable_css_id6ouofpf6th3vg0rmdsv8') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(29, 2, 'tinytable_css_id6ouofpf6th3vg0rmdsv8') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(29, 3, 'tinytable_css_id6ouofpf6th3vg0rmdsv8') })
window.addEventListener('load', function () { styleCell_i85pns4mom6gjp6fqn6l(29, 4, 'tinytable_css_id6ouofpf6th3vg0rmdsv8') })
    </script>

    <style>
.table td.tinytable_css_idcoyx3r8qmsy0j0jep0kx, .table th.tinytable_css_idcoyx3r8qmsy0j0jep0kx { width: 40%; text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idl9y2hgkv07bp7wsik7ge, .table th.tinytable_css_idl9y2hgkv07bp7wsik7ge { width: 15%; text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idye67w9rk6vrinkxootbs, .table th.tinytable_css_idye67w9rk6vrinkxootbs { width: 40%; text-align: left; }
.table td.tinytable_css_id81hm7h0h2ofmzgx03agl, .table th.tinytable_css_id81hm7h0h2ofmzgx03agl { width: 15%; text-align: center; }
.table td.tinytable_css_id6bx92q0pwweprfdb3oav, .table th.tinytable_css_id6bx92q0pwweprfdb3oav { width: 40%; border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_id4cmse3fpa4bzg7z1a5ua, .table th.tinytable_css_id4cmse3fpa4bzg7z1a5ua { width: 15%; border-bottom: solid 0.05em black; text-align: center; }
.table td.tinytable_css_id6ouofpf6th3vg0rmdsv8, .table th.tinytable_css_id6ouofpf6th3vg0rmdsv8 { text-align: left; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_i85pns4mom6gjp6fqn6l" style="table-layout: fixed; width: 100% !important; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_policyoutsideragree_RAP}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                              </td>
                  <td>0.014     </td>
                  <td>-0.058     </td>
                  <td>-0.101     </td>
                  <td>-0.111     </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.064)   </td>
                  <td>(0.077)    </td>
                  <td>(0.079)    </td>
                  <td>(0.081)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                                            </td>
                  <td>0.255***  </td>
                  <td>0.139      </td>
                  <td>0.135      </td>
                  <td>0.345      </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.045)   </td>
                  <td>(0.229)    </td>
                  <td>(0.229)    </td>
                  <td>(0.290)    </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                                     </td>
                  <td>0.225     </td>
                  <td>-0.354+    </td>
                  <td>-0.365+    </td>
                  <td>-0.374+    </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.164)   </td>
                  <td>(0.197)    </td>
                  <td>(0.198)    </td>
                  <td>(0.201)    </td>
                </tr>
                <tr>
                  <td>Strength in committee                                                                 </td>
                  <td>0.349***  </td>
                  <td>0.256***   </td>
                  <td>0.206***   </td>
                  <td>0.224***   </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.010)   </td>
                  <td>(0.019)    </td>
                  <td>(0.021)    </td>
                  <td>(0.023)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                                 </td>
                  <td>0.579*    </td>
                  <td>0.633*     </td>
                  <td>0.642*     </td>
                  <td>0.708*     </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.275)   </td>
                  <td>(0.308)    </td>
                  <td>(0.309)    </td>
                  <td>(0.314)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                               </td>
                  <td>0.238     </td>
                  <td>-0.314     </td>
                  <td>-0.284     </td>
                  <td>-0.234     </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.209)   </td>
                  <td>(0.268)    </td>
                  <td>(0.269)    </td>
                  <td>(0.273)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\widetilde\Delta_{\text{policy}}$                              </td>
                  <td>-0.073    </td>
                  <td>-0.013     </td>
                  <td>0.007      </td>
                  <td>0.007      </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.058)   </td>
                  <td>(0.065)    </td>
                  <td>(0.065)    </td>
                  <td>(0.066)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\widetilde\Delta_{\text{policy}}$                            </td>
                  <td>-0.095*** </td>
                  <td>-0.074*    </td>
                  <td>-0.067*    </td>
                  <td>-0.069*    </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.024)   </td>
                  <td>(0.030)    </td>
                  <td>(0.031)    </td>
                  <td>(0.031)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\widetilde\Delta_{\text{policy}}$ $\times$ bill disagreement  </td>
                  <td>0.448*    </td>
                  <td>0.715**    </td>
                  <td>0.688**    </td>
                  <td>0.731**    </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.210)   </td>
                  <td>(0.261)    </td>
                  <td>(0.258)    </td>
                  <td>(0.259)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\widetilde\Delta_{\text{policy}}$ $\times$ bill disagreement</td>
                  <td>0.080     </td>
                  <td>0.305**    </td>
                  <td>0.314**    </td>
                  <td>0.299**    </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.086)   </td>
                  <td>(0.111)    </td>
                  <td>(0.111)    </td>
                  <td>(0.113)    </td>
                </tr>
                <tr>
                  <td>Intercept                                                                             </td>
                  <td>-3.463*** </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>                                                                                      </td>
                  <td>(0.041)   </td>
                  <td>           </td>
                  <td>           </td>
                  <td>           </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                                            </td>
                  <td>          </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                                                          </td>
                  <td>          </td>
                  <td>           </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                                                           </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                                             </td>
                  <td>          </td>
                  <td>           </td>
                  <td>           </td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                                             </td>
                  <td>-14224.806</td>
                  <td>-12709.183 </td>
                  <td>-12646.118 </td>
                  <td>-12482.148 </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                              </td>
                  <td>58969     </td>
                  <td>58969      </td>
                  <td>58969      </td>
                  <td>58969      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA14.txt&quot;), overwrite = T)
      rm(regtab, models_policyoutsideragree_RAP, FE_add)

      # Generate figure A11
      pdat = plot_slopes(mRAP.policyoutsideragreeFEcabpartycom_term, variables = &quot;delta_policy_outsider&quot;, condition = list(&quot;billdisagree_wo&quot;, &quot;oppoutin&quot;), draw = F)
      pdat$oppoutin = case_match(pdat$oppoutin,
                                 &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                 &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                 &quot;insider&quot; ~ &quot;Insider&quot;)
      pdat %&gt;% filter(billdisagree_wo == 1)</code></pre>
<pre><code>##   rowid                  term   estimate   std.error statistic     p.value
## 1   148 delta_policy_outsider 0.01110980 0.005531423  2.008488 0.044591447
## 2   149 delta_policy_outsider 0.00000000          NA        NA          NA
## 3   150 delta_policy_outsider 0.05721701 0.020015512  2.858633 0.004254701
##    s.value     conf.low  conf.high billdisagree_wo   oppoutin predicted_lo
## 1 4.487089 0.0002684076 0.02195119               1 Opposition   0.05089697
## 2       NA           NA         NA               1    Insider   0.04458714
## 3 7.876727 0.0179873303 0.09644670               1   Outsider   0.08466354
##   predicted_hi  predicted member_pct delta_policy_outsider      cabparty EPterm
## 1   0.05091220 0.05090459   1.713717             0.1191929 Merkel II-808      7
## 2   0.04458714 0.04458714   1.713717             0.1191929 Merkel II-808      7
## 3   0.08474199 0.08470276   1.713717             0.1191929 Merkel II-808      7
##   title_short appointed
## 1        LIBE         0
## 2        LIBE         0
## 3        LIBE         0</code></pre>
<pre class="r"><code>      ggplot(pdat, aes(x = billdisagree_wo, y = estimate, ymin = conf.low, ymax = conf.high)) +
        geom_rug(inherit.aes = F,
                 data = d_RAP %&gt;% dplyr::select(billdisagree_wo,oppoutin) %&gt;%
                   mutate(oppoutin = case_match(oppoutin,
                                                &quot;opposition&quot; ~ &quot;Opposition&quot;,
                                                &quot;outsider&quot; ~ &quot;Outsider&quot;,
                                                &quot;insider&quot; ~ &quot;Insider&quot;)),
                 mapping = aes(x = billdisagree_wo),
                 alpha = 0.3) +
        facet_wrap(~oppoutin)+
        geom_ribbon(linetype = 2, color = &quot;grey20&quot;, fill = &quot;grey80&quot;, alpha = 0.5) +
        geom_line() +
        theme_bw() +
        theme(strip.background = element_blank(),
              strip.text = element_text(size = 11)) +
        labs(x = &quot;Bill disagreement&quot;,
             y = TeX(&quot;Effect of misalignment ($\\widetilde{\\Delta}_{policy}$) on rapporteur assignment&quot;),
        )</code></pre>
<pre><code>## Warning in max(ids, na.rm = TRUE): no non-missing arguments to max; returning
## -Inf</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA11.pdf&quot;), width = 6.5, height = 4)</code></pre>
<pre><code>## Warning in max(ids, na.rm = TRUE): no non-missing arguments to max; returning
## -Inf</code></pre>
<pre class="r"><code>  ## Sensitivity to influential observations ----
      ### Get cook&#39;s D ----
      cd = cooks.distance(mRAP.policyagreeFEcabpartycom_term)

      # Generate Figure A12
      ggplot(data.frame(cd), aes(x = cd)) +
        geom_histogram(bins = 100) +
        geom_vline(xintercept = quantile(cd, p = c(0.95, 0.99), na.rm = T)) +
        theme_bw() +
        labs(x = &quot;Cook&#39;s distance (Model A4)&quot;)</code></pre>
<pre><code>## Warning: Removed 37 rows containing non-finite outside the scale range
## (`stat_bin()`).</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>      ggsave(here(&quot;figA12.pdf&quot;), width = 6.5, height = 4)</code></pre>
<pre><code>## Warning: Removed 37 rows containing non-finite outside the scale range
## (`stat_bin()`).</code></pre>
<pre class="r"><code>      # Get data for subset models
      d_RAP_cd = d_RAP
      d_RAP_cd$cook = cd

    ### Fit subset models ----
      mRAP.policyagreeFEcabpartycom_term_lowCD99 = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP_cd %&gt;% filter(cook &lt; quantile(cook, p = 0.99, na.rm = T)),
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_term_lowCD99)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 61,269
## Fixed-effects: cabparty^EPterm: 656,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## member_pct                                       0.223559   0.022773  9.816764
## oppoutinopposition                               0.402716   0.327898  1.228174
## oppoutinoutsider                                -0.063805   0.080243 -0.795142
## delta_policy                                    -0.005800   0.036928 -0.157068
## billdisagree_wo                                 -0.381992   0.219590 -1.739568
## oppoutinopposition:delta_policy                 -0.133677   0.058005 -2.304580
## oppoutinoutsider:delta_policy                   -0.214555   0.095147 -2.254977
## oppoutinopposition:billdisagree_wo              -0.339629   0.300296 -1.130983
## oppoutinoutsider:billdisagree_wo                 0.688858   0.332039  2.074630
## delta_policy:billdisagree_wo                    -0.041147   0.195850 -0.210095
## oppoutinopposition:delta_policy:billdisagree_wo  0.634492   0.255389  2.484410
## oppoutinoutsider:delta_policy:billdisagree_wo    1.865336   0.433136  4.306579
##                                                   Pr(&gt;|z|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              0.21938153    
## oppoutinoutsider                                0.42653092    
## delta_policy                                    0.87519107    
## billdisagree_wo                                 0.08193491 .  
## oppoutinopposition:delta_policy                 0.02119010 *  
## oppoutinoutsider:delta_policy                   0.02413476 *  
## oppoutinopposition:billdisagree_wo              0.25806235    
## oppoutinoutsider:billdisagree_wo                0.03802088 *  
## delta_policy:billdisagree_wo                    0.83359338    
## oppoutinopposition:delta_policy:billdisagree_wo 0.01297662 *  
## oppoutinoutsider:delta_policy:billdisagree_wo   0.00001658 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -11,050.4   Adj. Pseudo R2: 0.161238
##            BIC:  30,114.5     Squared Cor.: 0.133236</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabpartycom_term_lowCD975 = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP_cd %&gt;% filter(cook &lt; quantile(cook, p = 0.975, na.rm = T)),
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_term_lowCD975)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 60,340
## Fixed-effects: cabparty^EPterm: 649,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                  Estimate Std. Error   z value
## member_pct                                       0.217571   0.024461  8.894644
## oppoutinopposition                               0.896961   0.541315  1.657003
## oppoutinoutsider                                -0.117461   0.093965 -1.250045
## delta_policy                                    -0.004982   0.042167 -0.118160
## billdisagree_wo                                 -0.965364   0.295208 -3.270110
## oppoutinopposition:delta_policy                 -0.238156   0.069471 -3.428120
## oppoutinoutsider:delta_policy                   -0.293842   0.117632 -2.497981
## oppoutinopposition:billdisagree_wo               0.121347   0.399363  0.303851
## oppoutinoutsider:billdisagree_wo                 1.788763   0.413234  4.328688
## delta_policy:billdisagree_wo                    -0.160354   0.269778 -0.594393
## oppoutinopposition:delta_policy:billdisagree_wo  0.974975   0.342297  2.848335
## oppoutinoutsider:delta_policy:billdisagree_wo    2.556540   0.600821  4.255078
##                                                   Pr(&gt;|z|)    
## member_pct                                       &lt; 2.2e-16 ***
## oppoutinopposition                              9.7519e-02 .  
## oppoutinoutsider                                2.1128e-01    
## delta_policy                                    9.0594e-01    
## billdisagree_wo                                 1.0751e-03 ** 
## oppoutinopposition:delta_policy                 6.0778e-04 ***
## oppoutinoutsider:delta_policy                   1.2490e-02 *  
## oppoutinopposition:billdisagree_wo              7.6124e-01    
## oppoutinoutsider:billdisagree_wo                1.5000e-05 ***
## delta_policy:billdisagree_wo                    5.5225e-01    
## oppoutinopposition:delta_policy:billdisagree_wo 4.3949e-03 ** 
## oppoutinoutsider:delta_policy:billdisagree_wo   2.0898e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -7,893.2   Adj. Pseudo R2: 0.252076
##            BIC: 23,711.9     Squared Cor.: 0.17733</code></pre>
<pre class="r"><code>      mRAP.policyagreeFEcabpartycom_term_lowCD95 = feglm(
        appointed ~
          member_pct +
          oppoutin*delta_policy*billdisagree_wo
        |
          cabparty^EPterm +
          title_short^EPterm
        ,
        family = binomial,
        vcov = &quot;iid&quot;,
        fixef.rm = &quot;none&quot;,
        data = d_RAP_cd %&gt;% filter(cook &lt; quantile(cook, p = 0.95, na.rm = T)),
        fixef.keep_names = T
      )
      summary(mRAP.policyagreeFEcabpartycom_term_lowCD95)</code></pre>
<pre><code>## GLM estimation, family = binomial, Dep. Var.: appointed
## Observations: 58,793
## Fixed-effects: cabparty^EPterm: 628,  title_short^EPterm: 60
## Standard-errors: IID 
##                                                   Estimate  Std. Error
## member_pct                                        0.340843    0.037323
## oppoutinopposition                              -15.709292 1124.962066
## oppoutinoutsider                                 -0.325898    0.150172
## delta_policy                                      0.194912    0.071375
## billdisagree_wo                                  -1.170179    0.463222
## oppoutinopposition:delta_policy                  -0.604754    0.125878
## oppoutinoutsider:delta_policy                    -0.385084    0.223367
## oppoutinopposition:billdisagree_wo                0.391670    0.665671
## oppoutinoutsider:billdisagree_wo                  2.406482    0.636886
## delta_policy:billdisagree_wo                     -0.502648    0.511340
## oppoutinopposition:delta_policy:billdisagree_wo   1.609597    0.657771
## oppoutinoutsider:delta_policy:billdisagree_wo     4.137632    1.061044
##                                                   z value   Pr(&gt;|z|)    
## member_pct                                       9.132357  &lt; 2.2e-16 ***
## oppoutinopposition                              -0.013964 9.8886e-01    
## oppoutinoutsider                                -2.170158 2.9995e-02 *  
## delta_policy                                     2.730822 6.3177e-03 ** 
## billdisagree_wo                                 -2.526172 1.1531e-02 *  
## oppoutinopposition:delta_policy                 -4.804282 1.5531e-06 ***
## oppoutinoutsider:delta_policy                   -1.723995 8.4709e-02 .  
## oppoutinopposition:billdisagree_wo               0.588383 5.5627e-01    
## oppoutinoutsider:billdisagree_wo                 3.778512 1.5777e-04 ***
## delta_policy:billdisagree_wo                    -0.983002 3.2561e-01    
## oppoutinopposition:delta_policy:billdisagree_wo  2.447048 1.4403e-02 *  
## oppoutinoutsider:delta_policy:billdisagree_wo    3.899588 9.6357e-05 ***
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## Log-Likelihood: -3,663.2   Adj. Pseudo R2: 0.386665
##            BIC: 15,002.6     Squared Cor.: 0.275302</code></pre>
<pre class="r"><code>      # Generate table A15
      models_policyagree_RAP_CD = list(mRAP.policyagreeFEcabpartycom_term,
                                       mRAP.policyagreeFEcabpartycom_term_lowCD99,
                                       mRAP.policyagreeFEcabpartycom_term_lowCD975,
                                       mRAP.policyagreeFEcabpartycom_term_lowCD95)
      names(models_policyagree_RAP_CD) = c(&quot;A4&quot;, &quot;A4 [99% low CD]&quot;, &quot;A4 [97.5% low CD]&quot;,
                                           &quot;A4 [95% low CD]&quot;)

      FE_add = data.frame(matrix(c(&quot;Party $\\times$ Cabinet FE&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,&quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee FE&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,&quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Committee $\\times$ term FE&quot;, &quot;\\checkmark&quot;,&quot;\\checkmark&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Party $\\times$ cabinet $\\times$ term FE&quot;, &quot;\\checkmark&quot;, &quot;\\checkmark&quot;,&quot;\\checkmark&quot;, &quot;\\checkmark&quot;,
                                   &quot;Log. Lik.&quot;, round(unlist(lapply(models_policyagree_RAP_CD, logLik)), 3)),
                                 ncol = length(models_policyagree_RAP_CD) + 1, byrow = T))
      attr(FE_add, &quot;position&quot;) = 24 + 1:nrow(FE_add)

      regtab = modelsummary(models_policyagree_RAP_CD,
                            #output = &quot;latex&quot;,
                            coef_map = cmap,
                            gof_omit = &quot;AIC|BIC|RMSE|F|Std.Errors|R&quot;,
                            add_rows = FE_add,
                            escape=FALSE,
                            stars = T,
                            width = c(0.4, rep(0.6/length(models_policyagree_RAP_CD), length(models_policyagree_RAP_CD))),
                            title = &quot;Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\\label{tab:regtab_policyagree_RAP_CD}&quot;)
      regtab</code></pre>
<!-- preamble start -->

    <script>
      function styleCell_eol6et9ncsiva9h3659c(i, j, css_id) {
        var table = document.getElementById("tinytable_eol6et9ncsiva9h3659c");
        table.rows[i].cells[j].classList.add(css_id);
      }
      function insertSpanRow(i, colspan, content) {
        var table = document.getElementById('tinytable_eol6et9ncsiva9h3659c');
        var newRow = table.insertRow(i);
        var newCell = newRow.insertCell(0);
        newCell.setAttribute("colspan", colspan);
        // newCell.innerText = content;
        // this may be unsafe, but innerText does not interpret <br>
        newCell.innerHTML = content;
      }
      function spanCell_eol6et9ncsiva9h3659c(i, j, rowspan, colspan) {
        var table = document.getElementById("tinytable_eol6et9ncsiva9h3659c");
        const targetRow = table.rows[i];
        const targetCell = targetRow.cells[j];
        for (let r = 0; r < rowspan; r++) {
          // Only start deleting cells to the right for the first row (r == 0)
          if (r === 0) {
            // Delete cells to the right of the target cell in the first row
            for (let c = colspan - 1; c > 0; c--) {
              if (table.rows[i + r].cells[j + c]) {
                table.rows[i + r].deleteCell(j + c);
              }
            }
          }
          // For rows below the first, delete starting from the target column
          if (r > 0) {
            for (let c = colspan - 1; c >= 0; c--) {
              if (table.rows[i + r] && table.rows[i + r].cells[j]) {
                table.rows[i + r].deleteCell(j);
              }
            }
          }
        }
        // Set rowspan and colspan of the target cell
        targetCell.rowSpan = rowspan;
        targetCell.colSpan = colspan;
      }
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(0, 0, 'tinytable_css_idzb37l1hmfnvtsssbjzpb') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(0, 1, 'tinytable_css_idusd1l8nk5bypsm4li7xn') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(0, 2, 'tinytable_css_idusd1l8nk5bypsm4li7xn') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(0, 3, 'tinytable_css_idusd1l8nk5bypsm4li7xn') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(0, 4, 'tinytable_css_idusd1l8nk5bypsm4li7xn') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(1, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(1, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(1, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(1, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(1, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(2, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(2, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(2, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(2, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(2, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(3, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(3, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(3, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(3, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(3, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(4, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(4, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(4, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(4, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(4, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(5, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(5, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(5, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(5, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(5, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(6, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(6, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(6, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(6, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(6, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(7, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(7, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(7, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(7, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(7, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(8, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(8, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(8, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(8, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(8, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(9, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(9, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(9, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(9, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(9, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(10, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(10, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(10, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(10, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(10, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(11, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(11, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(11, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(11, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(11, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(12, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(12, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(12, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(12, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(12, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(13, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(13, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(13, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(13, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(13, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(14, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(14, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(14, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(14, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(14, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(15, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(15, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(15, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(15, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(15, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(16, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(16, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(16, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(16, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(16, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(17, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(17, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(17, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(17, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(17, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(18, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(18, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(18, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(18, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(18, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(19, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(19, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(19, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(19, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(19, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(20, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(20, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(20, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(20, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(20, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(21, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(21, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(21, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(21, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(21, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(22, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(22, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(22, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(22, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(22, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(23, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(23, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(23, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(23, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(23, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(24, 0, 'tinytable_css_idkzjw3l3wkykdov62bg3f') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(24, 1, 'tinytable_css_id2xu9e225h5y2zhrjxda7') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(24, 2, 'tinytable_css_id2xu9e225h5y2zhrjxda7') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(24, 3, 'tinytable_css_id2xu9e225h5y2zhrjxda7') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(24, 4, 'tinytable_css_id2xu9e225h5y2zhrjxda7') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(25, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(25, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(25, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(25, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(25, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(26, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(26, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(26, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(26, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(26, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(27, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(27, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(27, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(27, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(27, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(28, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(28, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(28, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(28, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(28, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(29, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(29, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(29, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(29, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(29, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(30, 0, 'tinytable_css_idk9djcjaye1fd7eurcau4') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(30, 1, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(30, 2, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(30, 3, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(30, 4, 'tinytable_css_idofe3hov8v3j4dikm0zls') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(31, 0, 'tinytable_css_idjza3hkeeifnx8fb6n1d2') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(31, 1, 'tinytable_css_idjza3hkeeifnx8fb6n1d2') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(31, 2, 'tinytable_css_idjza3hkeeifnx8fb6n1d2') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(31, 3, 'tinytable_css_idjza3hkeeifnx8fb6n1d2') })
window.addEventListener('load', function () { styleCell_eol6et9ncsiva9h3659c(31, 4, 'tinytable_css_idjza3hkeeifnx8fb6n1d2') })
    </script>

    <style>
.table td.tinytable_css_idzb37l1hmfnvtsssbjzpb, .table th.tinytable_css_idzb37l1hmfnvtsssbjzpb { width: 40%; text-align: left; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idusd1l8nk5bypsm4li7xn, .table th.tinytable_css_idusd1l8nk5bypsm4li7xn { width: 15%; text-align: center; border-bottom: solid 0.1em #d3d8dc; }
.table td.tinytable_css_idk9djcjaye1fd7eurcau4, .table th.tinytable_css_idk9djcjaye1fd7eurcau4 { width: 40%; text-align: left; }
.table td.tinytable_css_idofe3hov8v3j4dikm0zls, .table th.tinytable_css_idofe3hov8v3j4dikm0zls { width: 15%; text-align: center; }
.table td.tinytable_css_idkzjw3l3wkykdov62bg3f, .table th.tinytable_css_idkzjw3l3wkykdov62bg3f { width: 40%; border-bottom: solid 0.05em black; text-align: left; }
.table td.tinytable_css_id2xu9e225h5y2zhrjxda7, .table th.tinytable_css_id2xu9e225h5y2zhrjxda7 { width: 15%; border-bottom: solid 0.05em black; text-align: center; }
.table td.tinytable_css_idjza3hkeeifnx8fb6n1d2, .table th.tinytable_css_idjza3hkeeifnx8fb6n1d2 { text-align: left; }
</style>
    <div class="container">
      <table class="table table-borderless" id="tinytable_eol6et9ncsiva9h3659c" style="table-layout: fixed; width: 100% !important; margin-left: auto; margin-right: auto;" data-quarto-disable-processing="true">
        <thead>
        <caption>Binary logistic regression estimates. DV: Rapporteur assignment. Standard errors in parentheses.\label{tab:regtab_policyagree_RAP_CD}</caption>
              <tr>
                <th scope="col"> </th>
                <th scope="col">A4</th>
                <th scope="col">A4 [99% low CD]</th>
                <th scope="col">A4 [97.5% low CD]</th>
                <th scope="col">A4 [95% low CD]</th>
              </tr>
        </thead>
        <tfoot><tr><td colspan="5">+ p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>Outsider                                                                   </td>
                  <td>-0.067     </td>
                  <td>-0.064     </td>
                  <td>-0.117     </td>
                  <td>-0.326*    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.074)    </td>
                  <td>(0.080)    </td>
                  <td>(0.094)    </td>
                  <td>(0.150)    </td>
                </tr>
                <tr>
                  <td>Opposition                                                                 </td>
                  <td>0.299      </td>
                  <td>0.403      </td>
                  <td>0.897+     </td>
                  <td>-15.709    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.291)    </td>
                  <td>(0.328)    </td>
                  <td>(0.541)    </td>
                  <td>(1124.962) </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$                                                 </td>
                  <td>-0.021     </td>
                  <td>-0.006     </td>
                  <td>-0.005     </td>
                  <td>0.195**    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.035)    </td>
                  <td>(0.037)    </td>
                  <td>(0.042)    </td>
                  <td>(0.071)    </td>
                </tr>
                <tr>
                  <td>Bill disagreement                                                          </td>
                  <td>-0.405*    </td>
                  <td>-0.382+    </td>
                  <td>-0.965**   </td>
                  <td>-1.170*    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.203)    </td>
                  <td>(0.220)    </td>
                  <td>(0.295)    </td>
                  <td>(0.463)    </td>
                </tr>
                <tr>
                  <td>Strength in committee                                                      </td>
                  <td>0.235***   </td>
                  <td>0.224***   </td>
                  <td>0.218***   </td>
                  <td>0.341***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.022)    </td>
                  <td>(0.023)    </td>
                  <td>(0.024)    </td>
                  <td>(0.037)    </td>
                </tr>
                <tr>
                  <td>$\Delta_{\text{policy}}$ $\times$  bill disagreement                    </td>
                  <td>-0.102     </td>
                  <td>-0.041     </td>
                  <td>-0.160     </td>
                  <td>-0.503     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.180)    </td>
                  <td>(0.196)    </td>
                  <td>(0.270)    </td>
                  <td>(0.511)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$                              </td>
                  <td>-0.144+    </td>
                  <td>-0.215*    </td>
                  <td>-0.294*    </td>
                  <td>-0.385+    </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.083)    </td>
                  <td>(0.095)    </td>
                  <td>(0.118)    </td>
                  <td>(0.223)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$                            </td>
                  <td>-0.079     </td>
                  <td>-0.134*    </td>
                  <td>-0.238***  </td>
                  <td>-0.605***  </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.054)    </td>
                  <td>(0.058)    </td>
                  <td>(0.069)    </td>
                  <td>(0.126)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$  bill disagreement                                      </td>
                  <td>0.746*     </td>
                  <td>0.689*     </td>
                  <td>1.789***   </td>
                  <td>2.406***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.303)    </td>
                  <td>(0.332)    </td>
                  <td>(0.413)    </td>
                  <td>(0.637)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$  bill disagreement                                    </td>
                  <td>-0.171     </td>
                  <td>-0.340     </td>
                  <td>0.121      </td>
                  <td>0.392      </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.270)    </td>
                  <td>(0.300)    </td>
                  <td>(0.399)    </td>
                  <td>(0.666)    </td>
                </tr>
                <tr>
                  <td>Outsider $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement  </td>
                  <td>1.530***   </td>
                  <td>1.865***   </td>
                  <td>2.557***   </td>
                  <td>4.138***   </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.375)    </td>
                  <td>(0.433)    </td>
                  <td>(0.601)    </td>
                  <td>(1.061)    </td>
                </tr>
                <tr>
                  <td>Opposition $\times$ $\Delta_{\text{policy}}$ $\times$ bill disagreement</td>
                  <td>0.550*     </td>
                  <td>0.634*     </td>
                  <td>0.975**    </td>
                  <td>1.610*     </td>
                </tr>
                <tr>
                  <td>                                                                           </td>
                  <td>(0.231)    </td>
                  <td>(0.255)    </td>
                  <td>(0.342)    </td>
                  <td>(0.658)    </td>
                </tr>
                <tr>
                  <td>Party $\times$ Cabinet FE                                                 </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee FE                                                               </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Committee $\times$ term FE                                                </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Party $\times$ cabinet $\times$ term FE                                  </td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                  <td>\checkmark</td>
                </tr>
                <tr>
                  <td>Log. Lik.                                                                  </td>
                  <td>-13270.446 </td>
                  <td>-11050.356 </td>
                  <td>-7893.168  </td>
                  <td>-3663.187  </td>
                </tr>
                <tr>
                  <td>Num.Obs.                                                                   </td>
                  <td>61925      </td>
                  <td>61269      </td>
                  <td>60340      </td>
                  <td>58793      </td>
                </tr>
        </tbody>
      </table>
    </div>
<!-- hack to avoid NA insertion in last line -->
<pre class="r"><code>      save_tt(regtab, here(&quot;tabA15.txt&quot;), overwrite = T)
      rm(regtab, models_policyagree_RAP_CD, FE_add)</code></pre>




</div>

<script>

// add bootstrap table styles to pandoc tables
function bootstrapStylePandocTables() {
  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
}
$(document).ready(function () {
  bootstrapStylePandocTables();
});


</script>

<!-- tabsets -->

<script>
$(document).ready(function () {
  window.buildTabsets("TOC");
});

$(document).ready(function () {
  $('.tabset-dropdown > .nav-tabs > li').click(function () {
    $(this).parent().toggleClass('nav-tabs-open');
  });
});
</script>

<!-- code folding -->


<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
  (function () {
    var script = document.createElement("script");
    script.type = "text/javascript";
    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
    document.getElementsByTagName("head")[0].appendChild(script);
  })();
</script>

</body>
</html>
